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Collections including paper arxiv:2409.16040

hierarchical forecasting

Gated Fusion Enhanced Multi-Scale Hierarchical Graph Convolutional Network for Stock Movement Prediction

Paper • 2511.01570 • Published Nov 3, 2025
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding

Paper • 2509.19406 • Published Sep 23, 2025
Learning to Embed Time Series Patches Independently

Paper • 2312.16427 • Published Dec 27, 2023
Generative Pretrained Hierarchical Transformer for Time Series Forecasting

Paper • 2402.16516 • Published Feb 26, 2024 • 1

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Paper • 2409.16040 • Published Sep 24, 2024 • 16

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Paper • 2409.16040 • Published Sep 24, 2024 • 16

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Paper • 2409.16040 • Published Sep 24, 2024 • 16

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2, 2024 • 30
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 45
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27, 2024 • 54
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29, 2024 • 12

stuff i never have time to read

CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training

Paper • 2504.13161 • Published Apr 17, 2025 • 97
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks

Paper • 2402.11984 • Published Feb 19, 2024
BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling

Paper • 2503.06121 • Published Mar 8, 2025 • 5
Timer: Transformers for Time Series Analysis at Scale

Paper • 2402.02368 • Published Feb 4, 2024 • 2

GenAI-based Time Series

Leveraging generative models like transformers and GANs for advanced time series prediction and analysis.

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Paper • 2409.16040 • Published Sep 24, 2024 • 16
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts

Paper • 2410.10469 • Published Oct 14, 2024 • 1
Unified Training of Universal Time Series Forecasting Transformers

Paper • 2402.02592 • Published Feb 4, 2024 • 8
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 64

Mixture of Experts

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Paper • 2409.16040 • Published Sep 24, 2024 • 16

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13, 2024 • 71
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 134
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 55
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 90

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24, 2024 • 29
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 33

hierarchical forecasting

Gated Fusion Enhanced Multi-Scale Hierarchical Graph Convolutional Network for Stock Movement Prediction

Paper • 2511.01570 • Published Nov 3, 2025
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding

Paper • 2509.19406 • Published Sep 23, 2025
Learning to Embed Time Series Patches Independently

Paper • 2312.16427 • Published Dec 27, 2023
Generative Pretrained Hierarchical Transformer for Time Series Forecasting

Paper • 2402.16516 • Published Feb 26, 2024 • 1

stuff i never have time to read

CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training

Paper • 2504.13161 • Published Apr 17, 2025 • 97
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks

Paper • 2402.11984 • Published Feb 19, 2024
BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling

Paper • 2503.06121 • Published Mar 8, 2025 • 5
Timer: Transformers for Time Series Analysis at Scale

Paper • 2402.02368 • Published Feb 4, 2024 • 2

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Paper • 2409.16040 • Published Sep 24, 2024 • 16

GenAI-based Time Series

Leveraging generative models like transformers and GANs for advanced time series prediction and analysis.

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Paper • 2409.16040 • Published Sep 24, 2024 • 16
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts

Paper • 2410.10469 • Published Oct 14, 2024 • 1
Unified Training of Universal Time Series Forecasting Transformers

Paper • 2402.02592 • Published Feb 4, 2024 • 8
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 64

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Paper • 2409.16040 • Published Sep 24, 2024 • 16

Mixture of Experts

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Paper • 2409.16040 • Published Sep 24, 2024 • 16

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Paper • 2409.16040 • Published Sep 24, 2024 • 16

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13, 2024 • 71
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 134
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 55
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 90

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2, 2024 • 30
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 45
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27, 2024 • 54
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29, 2024 • 12

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24, 2024 • 29
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 33

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