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Cavity optomechanics, where the electromagnetic mode of the cavity is coupled to the mechanical motion via radiation pressure force, has attracted a great deal of renewed interest in recent years {{cite:b07224db793441a8fe8ae65b90365ced7d81d897}}. Such coupling of macroscopic objects with the cavity field can be used to... | i | 364bae42a374f910040e77dc259b5e1e |
Recently, the most massive neutron star (NS) known as PSR J0952-0607 was discovered with a mass 2.35 times as much as the Sun {{cite:09e7762cf7223cb51cbe04290beea17f9d2785d8}}. Also, earlier neutron stars like PSR J0740+6620 with masses higher than two (times as much as the Sun) have been discovered {{cite:dfbc63326265... | i | a4f5743059d0d649bb45ee5a6c7d0c8f |
The new algorithm avoids an exponential blowup by exploiting the fact that {{formula:bf8fc4b2-4dd7-4864-849e-4b75bb1e571e}} and addition are simple operations from the point of view of Boolean circuit complexity. Namely, these operations are both in {{formula:500f5e8d-71f8-47c9-8c9c-77bf4e6b4af9}} , i.e., they have ci... | i | 63d42b22dddf612f3829622a9c25b791 |
In the MI-IRL setting, methods can be partitioned into parametric (known number of clusters {{formula:6e33246c-b1bd-4329-960d-c91e19835ab2}} ) and non-parametric approaches ({{formula:dc25e48f-3ece-42f3-b071-2b1a95609cd4}} unknown).
While initialisation strategies such as ours may be helpful in Bayesian non-parametric... | m | b235591a4eeedcfd2821a17324501fd6 |
where {{formula:4a66e3ed-2dbd-4af2-8de7-56d93ac85240}} is the Newton constant and {{formula:06e17459-977a-4de8-9bd4-f5f2d14ba347}} is the AdS radius.
The Complexity=Action (CA) conjecture {{cite:c97513c22a60e71a5bd69609768ad0edfbba099b}}, {{cite:a467d1e6ad4204a04c49c51c33fdff2bd32d3962}} proposes instead that complex... | i | 55e6a32edb746c729bafa582fcf0f37e |
In our current implementation we restrict ourselves to orbits in axisymmetric
potentials. Conservation of angular momentum, {{formula:8ceae3a9-0587-44f0-9f8b-401e5cc041e9}} , about the system's
symmetry axis then reduces the problem to that of motion in the {{formula:06146004-b100-46f0-9f0e-282d95ba4a03}}
meridional p... | m | 0ce5addd57a989a52e677c9ff3c1aee1 |
Augmentation strategy.
A well-defined augmentation strategy is critical in contrastive learning {{cite:30a659500a551bdccac653a614b85fe045987370}}. As pointed out by {{cite:30a659500a551bdccac653a614b85fe045987370}}, {{cite:76f6e0dadd7844daeb854edf5ba4a5c31e66dc65}}, the essential parts of constructing this strategy a... | m | 86484eb397e86e2a336e8e1e43586ec9 |
We define a measure to evaluate beneficial/harmful
explanatory effects of a sequential teaching curriculum on human comprehension.
We hypothesise the improvement of human comprehension from sequential teaching curricula based on the Blumer bound {{cite:ee8ac26c12e5e0b988516d644b924f196cb09a20}}.
We demonstrate based... | i | 42b0a35b6175b4cdb1ce777b2345856c |
Quantitative evaluation.
tab:rescv gives quantitative comparisons for IG, GI-GIP, and LTI against various defense mechanisms on CIFAR10. When no defense is applied, GI-GIP achieves the best performance according to all three metrics, whereas LTI performs almost equally well in terms of MSE and close to that of IG in te... | r | bebf7a37f520f23c8844bff6f67d24b8 |
We try out our method on mobilenet class of models (cite) and demonstrate that the observations for our method generalize form resnet models to mobilenet clas sof models as well. We perform experiments with the MobileNet {{cite:7d9eb454f7a0ff08ce498acf4454e9d81046fae7}} architecture where the teacher is a ResNet-152. T... | r | 613fb079b6995a6fad22460380eb8f45 |
We are interested in learning rich representations from unlabeled data. We have a teacher network and a student network. We initialize both models from scratch and update the teacher to be a slower version of the student: we use the momentum idea from MoCo in updating the teacher so that it is running average of the st... | m | 22fdbc9a39ecc336710bce9d5dbc29e7 |
and by the Lippmann-Schwinger equation (see (8.13) of {{cite:5ab8226101aecccdc528a3c228b78002fabcafc2}}) we have that
{{formula:919b0d5a-4385-41fa-b47a-7df7ff11d72a}}
| m | fe874de9208a8ec35d8bc8232b3bd42a |
It follows that the pullback {{formula:2a10511d-dc3c-4e66-9e6d-b0c8ac8c333f}} is an injection. (Such pullbacks are examples of edge maps, described for example in {{cite:96a2a1aa905639157505c8c520082bcead7dd5aa}}.)
| m | e4fa3a27f9e838ae7ace4845175ac91a |
To assess our approach, we evaluate the geometry against state-of-the-art methods among 3 categories: classic MVS, deep MVS and differential rendering based methods. First, COLMAP {{cite:3231adad50b0d8cf09a4213b42d13cadd61ae8d9}} and ACMMP {{cite:c4486004176ec64af4e32b260eaecf2fd331d4ba}} are classic MVS methods that h... | m | 6aafd36d054aeb0b1e159baa1e0f7312 |
1. Choice of Segmentation Model:
In this study, we compared the performance of several state-of-the-art semantic segmentation models, including
PSPNet {{cite:d28c66d5b395315ed3072491bdba1c5c5a05635c}}, SegNet {{cite:e7596ce740e60e23ae7edc15d91d6724b6f2e982}}, U-Net {{cite:992013571ce15c72c86e6c40418f83fa5765a62f}}, FC... | r | 2559c95cf1d4c6e63aecd9a506e062cf |
There were noteworthy additions to the literature we did not consider for various reasons. The Longformer of {{cite:0130e26f49a3470b9d92950a11b48924e4f845b5}} uses a sliding attention window in which the resulting self-attention mechanism scales linearly with length, however, the number of parameters of the pretrained ... | d | 75f847ce745fd79531c8992c26b5a703 |
[Proof of Theorem REF ]
It follows from Lemma REF (b), Theorem REF (b), and the maximum principle {{cite:a9d2ef99e83a873a16bec0a2766d37b2e55b43dd}} (the implication {{formula:f7b2da30-0e7a-4dcb-9867-f7cba9c64945}} is proved as in the proof of Lemma REF (b)).
| r | 355a60f940dc9117698b6655ffbe5b7f |
Salient Object Detection (SOD) is widely explored in color images {{cite:5f81351d353b8e22b669fd520d03bfa873d6df98}}, {{cite:9eed3aa304a63c751e96d066f476a001aaeb99e3}}, {{cite:5cdf5b2927e30f8ebe16bc2c6ecf15b24954a344}}, {{cite:d74aec5607130c4a17c5afc01edd2d6c98fe481f}}, {{cite:517e9574d57205d12f50c9c7eda0efd71dd34c21}},... | d | dd7ca846733f199fdafbc81d32d1ed54 |
Constructing truncation ansatze for embedding the domain wall solutions found here in string/M-theory using {{formula:ee315b43-48e6-4a17-8223-57b67b981e16}} exceptional field theory given in {{cite:d3f85585a46c01508b2bd82aa7c58b176d3acb7b}} is of particular interest. This would provide a complete framework for a holog... | d | 1500042985adeb7371eba2ffa47bfabe |
IceCube detector at south pole was able to detect high energy astrophysical neutrinos and identify its source {{cite:42ea1d00de5d9a2ccb88a50ed6025838a29ed6a3}}, {{cite:fda08ad25f2ba57ee02ce4646a9477591c90d987}}, {{cite:83633a054be4ffc95b5e48b16ca8d8434e1b0ce4}}.
| d | 769a1f9f32ac6dee7e4d3a9d811bfe3f |
The Eq. ( REF ) shows that the
effective NN-potential in terms of the well known inbuilt RMF
theory parameters of {{formula:58965a4c-9ef0-4058-b0c1-e612a6659744}} , {{formula:80954418-9380-42fb-8d4d-71126082cfaf}} and {{formula:4cd9af6a-b56e-47b4-9185-2c44a0265003}} meson fields. Here,
we have used RMF (NL3) force pa... | r | ed4a8c3a125e6c401870ed477e808a0b |
Our results confirm that the presence of a vibrating mirror changes significantly both the photon's as well as the phonon quantum dynamics of an
off-resonant pumped cavity optomechanical system. Moreover, the parameter range required to observe this behavior is
within experimental reach {{cite:98a321cbc74442b05ea0c41ac... | r | c415f1efbf99ad861fd6506d7bf21df3 |
One additional constraint on the composition of the atmosphere is the cumulative impact of historic X-ray ({{formula:5b2866ea-b434-4bc8-ba36-989723dce9d4}} ) and extreme ultraviolet ({{formula:41f1fc7c-fccb-46c4-bf93-f2a81afd6775}} ) radiation-driven mass loss (the sum is represented as {{formula:1ba2d167-200d-4660-923... | m | f47ef889e34b912b89a161b82e593247 |
We first compare the following schemes: (1) Single GPU + SB: This is the existing PyTorch implementation of Transformer fine-tuning from HuggingFace (HF), using small batch (SB) sizes (e.g., 32). (2) Multi-GPU + SB: This is multi-GPU PyTorch implementation using DistributedDataParallel {{cite:1c6563f7eb187a10c4166a1d... | r | ce55f9656f6c8779732b964b1518b4d6 |
The use of stochastic methods as a way of circumventing this computational scaling was pioneered by the quantum state diffusion methods of Gisin and Percival {{cite:ee64980af3296cbf1c9dfc38c221cbb3a2acdab0}}. They showed that the solution to a large class of master equations could be modelled by the evolution of a stoc... | i | 3350e4a2f8d66bee5981ae67049fcc0b |
With regards to increasing dimension, though the two best combinations in analogy (w8s0h0 & w4s0h0) for SW, as shown in fig. REF , decreased only slightly compared to others, the increased training time and much larger serialized model size render any possible minimal score advantage with higher dimensions undesirable.... | r | 93951bf977575d9a9c7ade50ea7c04c4 |
The value function of an optimal control problem is known to be usually only Lipschitz continuous even when the data is regular. The characterization of the value function is obtained in terms of a first-order nonlinear Hamilton-Jacobi-Bellman (HJB) partial differential equation.
A bottleneck in the computation of the ... | i | 4fd007970e980de99180e5da57962db6 |
All graphs in the experiments were generated using the Python NetworkX package {{cite:f862b2d22157dc852590d57052bb392fdfe6708c}}. Parameters used for the experiments concerning the expected number of mutants were m=1 for BA, p = 0.5 for ER, and {{formula:6fb86496-585f-4565-a691-df93f504f87d}} and {{formula:ea8e9aa0-5a... | m | 9ff65fe988d69a893306f206cc49020e |
Fitting the model to the data using the benchmark scenario provided in Section , with free spectral indices for both nucleons and nuclei ({{formula:c9704358-65c1-4786-8f75-fa92b64b5ad8}} ), provides the parameters and deviance shown in Table 1 of {{cite:2735eb079f908e12c91651c3350c1cdc68980d15}} using EPOS-LHC to inter... | r | 664221404925a8727da969da0404cc23 |
For time integration we use the explicit third-order TVD Runge-Kutta method {{cite:0d67695c84cce9d91201b8e9fff7985f1a95c83e}}:
{{formula:76a16a92-c2b6-4a37-b96f-20ed233a2af3}}
| m | 419c83e2fcd50c111db32edf07046864 |
Our main results are shown in Table REF and Table REF .
In supervised experiments, there is almost no cost of introducing local greedy losses, and our local forward gradient method can match the test error of backprop on MNIST and CIFAR. Note that LG-FG-A fails to overfit the training set to 0% error when trained with... | r | 75c8945bc9fae2d0074f773ae37e9a16 |
The first blocks of [fig:dataflow]Fig. fig:dataflow involve the transformation of a general purpose dataset to an analysis-specific one through the implementation of a data model.
The newly obtained dataset is then used for network analysis.
The graph is constructed identifying the nodes and the properties that define ... | m | b8d6854d084c96249d81c78b9274dde7 |
Recently K2K collaboration has reported experimental results on the inclusive single pion production induced by charged current by neutrinos in the energy region of 0.4-3 GeV{{cite:da0072ed07275ac205f68c5682b0b4ab832dcda0}}. Similar results were earlier reported by MiniBooNE collaboration in the energy region of 1GeV {... | i | 8666604cbc532e390ee925e20c31f964 |
A recent trend developing in quantum compiler optimizations {{cite:b6a5356b73d09e237fe30bb7d1271f2ca74b0444}}, {{cite:89f8f3f4a14f8cdf448ab2b72ed128a362a68882}}, {{cite:61d72440726d96bbdb34afc6de4547474d27a37d}}, {{cite:1174a453b3ac81113c9725a03b9e6d8cef9302d4}}, {{cite:e9efbb3936f497b7949c87bfb2c715d429e9b0ee}}, {{cit... | d | 7a4ea9047cc98a955ddb3c525dd2efe7 |
where {{formula:db4ce0be-604b-4848-af74-c99e891af3a1}} , {{formula:fb8d4ccd-91c2-40f1-a9be-3774a58a3059}} , {{formula:3f311830-3527-484a-b060-e7806f22b882}} , {{formula:15b8fe83-5b13-42b8-a216-516fe7426f6a}} , {{formula:34545b95-7e34-4c1d-900e-ccc06476f69f}} are proper and convex, and {{formula:4b151712-0789-430a-9dfb... | i | 3abf93681df64d5b674eff4176f601be |
As stated in the previous part, the main difficulty of performing the random layout sampling is the description of the two-dimensional feasible layout region of components under the non-overlapping constraint so that we cannot directly draw samples from the complicated layout space.
Hence, we propose to use a Markov ch... | m | c0ac1b2ba348c3d3661aa590adbb62e6 |
The electron parameters were obtained from the Parker Solar Probe Solar
Wind Electrons Alphas and Protons Investigation (SWEAP) {{cite:c96dc287a9e6ac84726cb8468ff52b837f84af7f}}
Solar Probe Analyzers (SPAN-A-E and SPAN-B-E) {{cite:f86b0167646942022b5e3abc1922ee39fe2e3eff}}.
We utilize electron temperature, temperature ... | m | 3b4ffdbd96762595bec00218f25055fb |
Comparing the calculation results of {{formula:52367c76-dbfe-47d6-a4e0-5556857b0ac8}} with that of {{formula:609fdbd4-ee0a-4fda-bc7b-b3d53e09ba3a}} decay modes, it can be found that when the mixing angle is {{formula:58f2f77f-d550-466b-8434-0684c77e6824}} or {{formula:29f296ff-734c-4701-9af6-24211137f62f}} , the bra... | r | 9626f1f1f6cc07fa1bd0ae251f278c4d |
Related to this is the question of completeness and contamination in
analyses of stellar populations near extragalactic supernovae and
remnants.
We can use our nearly complete knowledge of the environment around
Vela to evaluate the 50 pc projected search region used by {{cite:95ad90fa9e5a4f6d18fc77f929b42774902fc729}}... | d | 504db64e5a6652cf1991ff2512491288 |
Access to intermediate DNN layers:
In this paper, we assume that only black-box access to ML models is available.
The performance of the detector can be improved by enabling access to outputs of intermediate layers of DNNs {{cite:40f66eed0e856863fdf9553b271355438e726513}}.
One strategy is to compare outputs of intermed... | d | 67b72931a0c4e0c55fd02362aff21a59 |
M33 X-7's secure dynamical data and distance, the X-ray source's clean
thermal-state spectrum and moderate luminosity, and an abundance of Chandra and XMM data have provided arguably the most secure
estimate of black hole spin that has been achieved to date: {{formula:6faa6eed-a20f-4c73-a49a-8d3db6d258dd}} , where the ... | d | 80ccfd31d209f4eb1f1c7fa645a8e9be |
The Bell instability {{cite:7ca6cc9bd16ab2bd4494ec6ab9cc2d18a9631a7e}}, {{cite:1ead4aacdeb5db030d8995b75e242b0bb6c525f6}}, which amplifies magnetic field in the
shock precursor region, generates linearly polarized structures
in a near perpendicular shock geometry.
Considering the effect of these short wavelength fluctu... | i | fe0d6868a3d34a617000fcb4891a151f |
Table REF compares Impression Network with Flow-Guided Feature Aggregation and its faster variant. Both are described in {{cite:90b6f75112e41c9c08d85d40ab5247e1582a4c0c}}. FGFA is the standard version with a fusion radius of 10, and FGFA-fast is the accelerated version. It only calculates flow fields for adjacent fram... | m | f69a4e080692e5e04b3c3f1436899566 |
Table REF evaluates the performance of four previous approaches on Dataset-1 and on Dataset-2. We see that three of the past four works give an F1-score that is close to each other on Dataset-2. On Dataset-1 and Dataset-2, the best F1-score of 0.72 and 0.25 respectively are obtained by using features from {{cite:ac536... | r | 50a3b1e228b47e335baf6276f57deadc |
PASCOL VOC 2012.
To further prove the generalization ability of
our method, we also conduct experiments on PASCAL VOC 2012 val dataset. As we can see from Table REF , our method consistently beats supervised baseline over a large margin, the improvements are {{formula:1e0d8d25-d4bf-46ef-83ff-1ed6beb2eda8}} , {{formula... | m | e7723a0fd51a5141bf38c7cf56a03080 |
Here, we show how to restore gauge invariance of GW theory beyond the linear approximation and beyond the assumption of the Minkowski background. We start with a variational formulation of GWs, which is based on the well-known variational formulation of wave physics {{cite:38cd200b1dec8b8a25d4282e8f76d80c1ac2a96f}}, {{... | i | f5baa8a10abb506b4d8b8c0d62a0a268 |
Finally, we note that UHE CRs could be accelerated by external shocks during the early afterglow phase {{cite:9b2c8fd1ad39f56e3f2d7e40cb6a1d01a11e05ac}}, {{cite:e34205b7a99e36bc3b95786471a3d3b9d576a288}}, {{cite:5b67049240ce8c7fba45a20e19bf7695b40dc23e}}, in which PeV-EeV neutrinos are expected and the predicted fluxes... | d | 66e223d85cb45f2d9581ddaa3263c99d |
Regardless of the particular method, however, all subspace mapping approaches tend to rely on the assumption that aligning source and target covariate distributions is equivalent to aligning the source and target joint (covariate-response) distributions, which is only true if one believes that {{formula:d100dce2-ce65-4... | m | a294f104cb2b55f08e14b53245f9f299 |
One appealing way is to seek a common origin for these three issues, such as the {{formula:2e42f748-00e6-4a5f-ad3b-7e3efc9f901d}} MSM {{cite:b68047be419ae86ddb9ff992740921abb9c69290}}, {{cite:5d929b231c0d566f0180e18484730f28b0f9a35e}}, {{cite:df50dc9cfa3bf409deefc6b54e6b7d101e02fde6}}, {{cite:7467acb98a6b0762f56d6e828a... | i | fce917ba2ba606481d526b69243dfd2e |
Another reason is that the BIC-formation mechanism in such a simple, basic photonic structure as the planar lamellar-grating waveguide turns out to be so special that it simultaneously merges almost all other known mechanisms leading to the BIC formation (see reviews {{cite:9af377d6945aacfe6c60e81b4cfcd5f05df4005e}}, {... | i | 6f1210c3c3f329d811f6b3bd0edc7a91 |
It is important that large number of formulations not only enrich the linear complementarity problem but also generate different matrix classes along with their computational methods.
For details see {{cite:039b2655737ea363f4408ecc80eeb88eaf2c7a8b}}, {{cite:eb0419a2d45be2bcdb622725e3d7868b3dec1d8e}}, {{cite:4b7d68f39c9... | i | 022b3e8e7ae94eefddfcd7e53617b136 |
AdS/CFT holographic correspondence {{cite:bcbf646cef8eb9a8312dd792772aba09a80d573d}} gave rise to a revolution in high-energy physics, as it gave access to the non-perturbative regime of gauge theories and gravity. Holography opened up the possibility of addressing otherwise inaccessible problems in strongly coupled qu... | i | 622ebbcff95363dc7b5700cc3b8f30a2 |
where {{formula:6d82b1d9-2bd6-4a4c-8598-5503504b1eb1}} is a subgraph of {{formula:6100e48e-7761-4f9e-8da8-9db3199211a4}} with connected components isomorphic to either
{{formula:009f1fbf-d831-4b82-8612-47cc9df1ebe3}} (the connected graph with two vertices) or a cycle, {{formula:88eda766-db57-484b-b69d-ea2b5194f015}}... | r | b30964c186ed86e92f70561f1bdd1c4f |
According to the experimental analysis discussed in Section , we can say that different machine learning-based security models perform differently for detecting cyber-anomalies, or multi-attacks utilizing the training security data. The significance of the security features greatly impact both the binary classification... | d | 18281f701f11f46a24b864e1ec078b7b |
Additionally, CMA-ES {{cite:1ea0ac88cd6dcef28c1ef72cbcee7c92ad77c092}} as a state-of-the-art, derivative-free, and evolutionary black-box optimization method has been employed to optimize hyperparamters. Therefore, we use it as our evolutionary search strategy for HPO. This will allow us to focus on the impact of the t... | i | 052cc66588978c97450dadd015ed934d |
Finally, we examine the impact of the weighting factor {{formula:500e2148-6cf7-48f9-b83b-3f1367989314}} in Equation REF to further elucidate the network training process and the relative roles of {{formula:1c51023b-5527-4290-9b1c-0c32b4b036e9}} and {{formula:00e1ccc0-841d-4edb-ab0f-fcd8d75840a7}} . On one hand, hybr... | d | 7b6542eeae022cd071b9f86670f8c185 |
We compare the quality scores of the deblurred images {{formula:f457ed81-50ce-452d-b3b0-c194b2c7a721}} with the results of other two spatially varying defocus blur removal methods: a combination of the deconvolution methods proposed in {{cite:72fcfac2181cb43d20ac6530699e4a6326867e18}} and {{cite:fd34e6ed3a167cb7afcab0... | r | f834dcaddd745676ce15492deaf49c2b |
In eukaryotic cells, membrane shapes under mechanical stress are mostly controlled by the mechanics of the cortical actin cytoskeleton underlying the cell membrane which produces contractile stresses. It has been observed that membrane shapes mainly depend on the actin thickness, where thin shells show a cup-shaped def... | d | 74cd63775c41e7f774aeb2087bc99b63 |
Finding an observed FE for the robustness test is data dependent. Birth registries are commonplace in sibling FE analyses{{cite:caa62c19c83c0a50a11feeb060e5bfcec4d26b3a}}, {{cite:8d651052a51b09f67ec6b472dd4b5fbce13b6b9d}}, {{cite:894948bda6b6bf554ae4a95fd25014212fe180de}}, {{cite:6ccd4f4d361e51ffd6592de8aa7da23e06efdb2... | d | da5a2e694e8b10fb4e0db271d6cf329d |
We show that the revenue-maximizing strategy profile is an equilibrium for a large enough number of bidders, regardless of the information released between the stages.
We compare the number of bidders required for this strategy profile to be an equilibrium across different information structures.
We find that the less ... | i | a0824e4d3f99cb2412c3ca0a58e22d1a |
Table REF shows the experimental results.
Even though the original GPT-Neo models (125M, {{formula:74d386a6-645d-4bee-9e9e-11470e8a57cd}} B and {{formula:20b87eb5-60cd-472f-a011-09fb0dd6a2f5}} B) and GPT-J 6B {{cite:f6b4f3a18cf1ccdac092c3a01a77524e840afe81}} are trained on the dataset containing GitHub files, they do ... | r | c929a49687dc7a36a935e32745b3f7f5 |
Fig.REF shows the luminosity {{formula:c5c73c8a-99d2-49ac-8d99-ee229d161e56}} as a function of R for a variable efficiency {{formula:82a849ee-60c8-4804-9317-29648a24dcc5}} . Notice that L is a decreasing function of R and for relatively smaller values of R (UR case) it is almost of the same order (for our model and t... | r | bfd9f930d1c26b2ddde5dffb7be1ea7d |
We showed that the contact terms allowed by the Lorentzian inversion formula for {{formula:41eda2c6-dbd1-4620-bd7e-6be4c177f200}} vanished by combining localization with the {{formula:b1e0b266-e9b6-4cc2-8a5b-2b27f6d392f1}} four-point function computed using the weakly broken Ward identity. There is in fact a possible... | d | 8b1faf55af6e624e35fdbe15e833e95d |
In recent years, there has been growing interesting in understanding the performance of statistical procedures when the models they have been designed for are misspecified; see for example {{cite:e763a247d4de527904e3f920cb7e383fdccf9956}}, {{cite:bd4464b6e8313cb0b82dbb4aaa7e605ba6ed6540}}.
In this work, we consider reg... | d | d7a42c2200d81e65466228b2e7df4d7a |
We evaluated the proposed model on MSCOCO image captioning dataset. The results are reported in Table REF . To make a fair comparison, we extract an image feature vector as initialization of the hidden state using the same Inception_v3 model {{cite:5f490fd486398fd7f253f1273e2d6347698d64de}}, and lock the parameters in ... | r | 167b164e7fc6bd032d3c4f7c17b1d7e6 |
To prove cor:all, the requirement {{formula:4a96560b-c02c-4c4d-9ad0-995e7b1f910c}} is crucial in the application of thm:CVRP.
Intuitively, the threshold {{formula:78abeb60-ac55-4949-aa31-fff622e6625b}} comes from the additive term {{formula:acf8265c-7850-45f0-8d70-2066d12bffb4}} in the Structure Theorem.
For the Chr... | r | be2f6349c83cf43e8e8a991b4c700e0b |
(iv) Consistency with the standard neutrinos and mass number: From Table REF , we notice that the constraints on {{formula:b4b27585-3e18-4f62-aa34-f4382e475246}} and {{formula:a16cc89c-e129-47e6-8354-64b26734af0c}} in the interaction models are consistent with the standard model predictions. This observation is inter... | d | ab612ee53a1e34c2df81c47d39c2f9ad |
In our future investigation, we'll apply the proposed adaptive sample weighting strategies to more robust learning tasks to further validate its generality. Attributed to its relatively concise modeling manner, it is also hopeful to develop deeper and more comprehensive statistical learning understanding for revealing ... | d | b270c3ea3c3edf05b58b0ae0891dcde4 |
We submitted the prediction with defferent settings to the evaluation server of Cityscapeshttps://www.cityscapes-dataset.com/method-details/?submissionID=10089. The overall comparisons of our model with some recently proposed methods are summarized in Table REF . Note that our method mainly aims to optimize the mIoU me... | r | c43d9642f070c7a96cbd3144c13ad290 |
Considering that graph wavelets have a very strong ability to express information, this paper proposes a new deep graph wavelet convolutional network (DeepGWC) to improve the deep graph convolution models{{cite:7686a91a5d177dcd1dc0aedee8b1da25cfeaf708}}. Our DeepGWC model not only achieves the new state-of-the-art perf... | m | c4e3592a9a188f7b66d2e0fe958e2c2b |
One of the earliest CFD studies on DPIs was conducted by Coates et al. {{cite:de258fe267d9095466bd2c9f6442b3a8571bffcf}} in which they studied the flow-field and particle trajectories in the Aerolizer® DPI for different design parameters of the inhaler mouthpiece and grid. The flow-field was simulated using the RANS ap... | i | c0ac15c12aac15f1cc828866e5248285 |
(4) Gegenbauer moments at the scale of {{formula:c30aa4b3-1b4c-481a-8f66-dcf5d5ca80ef}} {{formula:30562e45-879c-4a6b-93ba-5c1a3b734c6f}} 1 GeV:
{{formula:429e9f9b-37e7-4c84-9765-41f8ef67076d}} {{formula:1804cad3-dee6-4fb9-a337-c11c4eb0da03}} {{formula:e3a739a1-3ac9-41de-8a89-7d572863078e}} and
{{formula:ac698ee0-9... | r | 46bf1233b227d792d564a4b812cda131 |
OCL, as one of the cornerstones of GR {{cite:8599d711da690fd167b2e2633232f8508e4af711}}, is not
respected in all modified gravity theories, for example, it is
broken in the non-minimal curvature matter coupling
theories {{cite:3e1addaf0bfc5c88bba4623987e1ea01124828ff}}, {{cite:74385e4c74b40bed888e0ad75579a7d9358fc540}}... | i | afe1a01d86613f33bbbdec2b29f41252 |
An alternative to the microscopic, molecular perspective is to attempt to develop a macroscopic, phenomenological understanding. Such an approach has been productive in diverse areas from statistical physics {{cite:df32d961e4a8fcbfc9cf7113f9f53b24f521d66a}} to economics {{cite:6bbc8e3528e198d4ada1683b7952c23ba4643509}}... | i | c11e87a57b0307d79a1d947d5597a477 |
Light is known to possess polarization and spatial degrees of freedom, manifested by its linear momentum as well as spin and orbital angular momenta{{cite:4b3bec116f154d48afa569b8d58c51fd8f0a1333}}. Remarkably, the spin angular momentum (SAM) of light can be transferred to electrons in matter, a phenomenon which refers... | i | 0277b2c816347f65fe1254320b921a44 |
with {{formula:f0fc7e57-1d7c-4261-aadc-927377a8f5fc}} , are solutions of () and (REF ), respectively {{cite:da6dfc7bd1003e7ee56cef8e030a33a2f0b186e7}}, {{cite:a7729996758635c8acdec95391a7b7defa3a33fb}}, {{cite:dfc5c6fdcdf2c1b24790d04e029419c4fb787d50}}, {{cite:a0fd99ff0e14ba49cd7b94dd5c9927e774262f09}}.
| i | f3d2411abf63aa16baaa001ed8358fa5 |
Other line of traditional methods {{cite:3ea79f47b7baf90093572bdf17fc0285af13ddbb}}, {{cite:45f802d667940dd8994a905a5233ae021e043fbd}} tried to embed the source and target data into a Grassmann manifold and learn a specific geodesic path between the two domains to bridge the source and target domains, but they are not ... | m | 9a8f9f4968d032f0c086422bd4074db9 |
On the KPZ fixed point level, ergodicity and behaviors around the maximum are better understood. Under the zero temperature setting, numerous results and techniques address the ergodicity question for the KPZ fixed point. For instance, due to the {{formula:673a255c-0fd5-4f4f-bc15-bb5c2dc75442}} scaling invariance, erg... | r | 903eda2d8d16b897c8e9f73533cc76fb |
One approach to dealing with this problem may be create models that account for differences between datasets. More generally, this approach is known as domain adaptation. One specific way to implement this, initially proposed by Alvi et al {{cite:4cbec48c79882db97815958dab4de1fa9425586b}}, is so-called `Joint Learning ... | d | 179738e3f5dd0756c3ad8976d05be157 |
If we modify the RTN ansatz by taking the same random state {{formula:6702ebe8-227e-4951-9c0b-5abee1511de3}} on different vertices, then after ensemble average there will be nontrivial permutations within a single copy of the system.
Such permutations change the geometry of the averaged state and correspond to more ge... | d | 6aa14a1a2307b2944febe246d1db17fb |
For image-to-image translation, we review some general methods from supervised to unsupervised settings, such as pixel-wise loss {{cite:1000b4cc069a9024aa8feec1693aa25a8ed102ef}}, cyclic loss {{cite:f5e9701c90338865858c120b0e0d234b879029da}} and self-distance loss {{cite:d0cc597c29dbc90cdc9f8b59a35ad2d98344a40e}}. Besi... | d | d843a506c1b3c57af13d1d0b4a5aa89b |
Blazars can be classified into BL Lacs and flat spectrum radio quasars (FSRQs) based on the optical spectroscopic identification. The BL Lacs are characterized by a general lack of emission or absorption lines with equivalent widths {{formula:c3189c6a-eef4-4b17-946e-4be49cdb9589}} 5 Å, while the FSRQs have emission li... | i | 9b47075c3f754b3199c2cb3bc57b6650 |
Qualitative and Qualitative Evaluations for MP.
We use the following state-of-the-art methods for comparison:
(i) U-Net as used in {{cite:fb6d24b03a05eb2dbc578453964c5b514a9f33aa}}, {{cite:7fff93949bbc3ef0f402a98efd260620a52c60b0}} that is adapted to work with unimodal input (T1w) and predicts the unimodal output (T2w)... | r | c94a727d7ee8a9cb43e1d1789ce2d07a |
Following the same methodology as described in {{cite:26b6fcf736646f91b65d7db6eb705dd8a7445673}}, we compute the predicted number ({{formula:b0e680cd-9c23-4ff2-bfaa-ada921f40bfb}} ) of N-rich field stars observed in APOGEE-2 toward M 54/Sgr using the smooth halo density relations presented in {{cite:3f81d1fafb1ef2da1c5... | r | 5d50eb698eaab33404d0f8256a418a8a |
Sentiment analysis or opinion mining is the computational study of people's opinions, appraisals, attitudes, and emotions toward entities, individuals, issues, events, topics and their attributes {{cite:3d3a6a8405ef1b89ac513209cef7f4e0a405c435}}. The task of sentiment analysis is technically challenging and practically... | i | c24dc8c534b0241f22d1a99a9537855c |
LIME. Ribeiro et al. {{cite:37447985b29b72001c0b9b1909993c373bb6cc9b}} propose Local Interpretable Model-agnostic Explanations (LIME) which identify interpretable data representations faithful to a given black box classifier. The explanation is defined by the following optimisation problem:
{{formula:ee1921b4-bee3-4e... | m | b7d6514ab410a812663af6faeb8ece02 |
Detections Feature Representation.
In all other experiments, we have used RoI pooling to get feature representations of our detections. As presented in Sec , we also explore using MLP projection.
Inspired by popular MLPs {{cite:3c83bc2a26c04f5756fe620b8147b1f2535fa9d3}}, we compare performances of MLPs and ConvNets as ... | r | aa748b19cacebaebd257549687ffbcb0 |
Acharya et al. 2018 {{cite:1803b396c677e8e37f16949a3cd3ef1c41eaa49b}} CNN Epilepsy Noraml, Preictal, and Seizure From Andrzejak et al. {{cite:679219f58a4afe9b829b1e90079bfe77e3a88236}}, 10 Participants (5 Healthy and 5 Epileptic Patients)
| d | daa096ded9084ba743a2556715a62bcf |
Like {{formula:4ce54dea-a117-46fe-977b-1c0e273321de}} , {{formula:3477aaf4-2fd3-4b93-8961-14e0d03f73a7}} , {{formula:ee462805-2178-427d-bf09-ed15c548172e}} , {{formula:ea579133-2ad4-4975-a0d0-5551db440f23}} , our algorithm relies on an inlier threshold {{formula:c0982ef6-284d-442f-99ae-79ae4ded4ee4}} . While how to set... | d | 3b211442f6c25ef31ec0853b13d17ae7 |
A major interest in neuroscience is understanding how macroscopic brain functions, such as cognition and memory, are encoded at the microscale of neurons and their topological connectivities. One of the significant developments in this direction was the Wilson-Cowan (WC) model, describing the averaged behavior of large... | i | edaefa0968c2afd3d27c3b022151ef91 |
To show the effectiveness of the proposed method, we have compared the results with the most advanced and similar methodologies of the fault diagnosis of rotating machines. As reported in literature review the selected algorithms are deep neural network (DNN) {{cite:2eb20fba6b73d5e2860409509af2527a50e9ade9}}, domain ad... | r | 268aa326d73b6b5079695a568d46cb9d |
Today's machine learning (ML) systems are large, complex software artifacts. Due to the ever-increasing system scale and training cost, it becomes not only tempting but also necessary to re-use pre-trained models in building ML systems. It was estimated that as of 2016, over 13.7% of ML-related repositories on GitHub u... | i | 01aa5e9e9a48a70e8e0830d6d8793c3c |
In this work, we have developed a multiscale model reduction (MMR) approach to improve linear-quadratic dynamical systems, derived from POD-Galerkin projection of the Navier-Stokes equations, with the addition of systematically computed cubic closure terms.
These cubic closure terms are derived through an adaptation an... | d | 7ee35d8d97ee0968ff6b6a0194f5ae3d |
where {{formula:fde0e01d-db35-41b5-af31-28ccc24154c3}} .
As a result, the box-counting dimension of the graph of {{formula:509c4850-7507-43ec-84b3-33a40d4fd886}} follows from Example 11.4 in {{cite:6325584df621950edbad3a43b7c037d29d958b7d}}. It is 1 if {{formula:795263a6-1b53-4929-9c77-0c95e80d82ee}} , and {{formula:1... | i | b86d83fe1d2f2e9175c439f805b9c133 |
Figure REF displays examples of activation maps {{cite:d92f6c1f19aeb1431537ea662885489da9a34155}}, {{cite:820b53e5ddef305be70698188b79e58724df9bd0}} for SPCL and our proposed method obtained from three bounding box images, featuring different individuals, in the target domain (ILIDS-VID dataset). The activation maps i... | r | 43a20b0a36167f31a8cff96c11cf73b6 |
In the present study we have concentrated on the local aspects of Einstein dark energy theory. From a physical point of view our main assumption is that the vector field {{formula:f61dc8b6-5b16-40df-b8fb-c5491e62f5b0}} , which in Einstein's
theory can be interpreted from a cosmological point of view as vector type dark... | d | afb9b16246e11574e461e5b99cea211c |
Reinforcement learning (RL) is another approach for solving the credit assignment problem. Node perturbation algorithms correlate noise injections with scalar reward signals in order to update network weights {{cite:1fd34f5677d0ab1c56d70274fdffda959cf8f5a7}}, {{cite:f8012e1540d3908c66a97a087f3536efdc05bf10}}, {{cite:56... | i | c6f2aa64d9c4c58df4a03c7a59bb706a |
This work proposes a fully learned glioma growth model, first introduced in {{cite:815e7e49be61c1ee22c368328da0806f25ef8234}} as an alternative to commonly used biological diffusion models {{cite:10e48d82890905b7b3f1055cf2cbf95dfc47c57e}}, {{cite:88fcac354c1ec77545e843d735ccf51ba61aa9fe}}. While successful, the approac... | d | 862a240bb3ece4e968c95de53c7aa5ee |
The object bounding box annotations are taken from {{cite:d17acc15b745f4c4cc3c3e9cb33ff4c25197a452}} and use the weighted average precision as the metric for success as in common when reporting results for this dataset. In Tab REF the average precision across the something-something subset dataset for the specific act... | r | baac6736c1c19ee74c728739261763bf |
We shall also need the class of functions of vanishing mean oscillation, as described, for example, in {{cite:4409c9a8675a897fb91af8b9067dd93fd6bd13d7}}.
| r | d7cdaec644ec70c63939ac29dc3747e7 |
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