Ting-Han Fan

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 23

Top Topics

Reinforcement Learning

Recurrent Neural Networks

Top Venues

Publications

Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, Alexander I. Rudnicky, Peter J. Ramadge
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings. CoRR (2023)
Ta-Chung Chi, Ting-Han Fan, Alexander I. Rudnicky, Peter J. Ramadge
Transformer Working Memory Enables Regular Language Reasoning and Natural Language Length Extrapolation. CoRR (2023)
Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, Peter J. Ramadge
Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation. EMNLP (Findings) (2023)
Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky
Advancing Regular Language Reasoning in Linear Recurrent Neural Networks. CoRR (2023)
Ta-Chung Chi, Ting-Han Fan, Alexander I. Rudnicky
Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation. CoRR (2023)
Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, Peter J. Ramadge
Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis. ACL (1) (2023)
Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, Alexander Rudnicky, Peter J. Ramadge
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings. ACL (2) (2023)
Ting-Han Fan, Xian Yeow Lee, Yubo Wang
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems. L4DC (2022)
Ta-Chung Chi, Ting-Han Fan, Peter J. Ramadge, Alexander I. Rudnicky
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation. CoRR (2022)
Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky, Peter J. Ramadge
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator. ICML (2022)
Ta-Chung Chi, Ting-Han Fan, Alexander I. Rudnicky
Receptive Field Alignment Enables Transformer Length Extrapolation. CoRR (2022)
Ting-Han Fan, Athindran Ramesh Kumar, Peter J. Ramadge
Safety Control for Prime Focus Spectrograph. CISS (2022)
Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky, Peter J. Ramadge
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator. CoRR (2022)
Ting-Han Fan, Yubo Wang
Soft Actor-Critic With Integer Actions. ACC (2022)
Ta-Chung Chi, Ting-Han Fan, Peter J. Ramadge, Alexander Rudnicky
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation. NeurIPS (2022)
Ting-Han Fan, Peter J. Ramadge
A Contraction Approach to Model-based Reinforcement Learning. AISTATS (2021)
Ting-Han Fan, Peter J. Ramadge
Explaining Off-Policy Actor-Critic From A Bias-Variance Perspective. CoRR (2021)
Ting-Han Fan, Xian Yeow Lee, Yubo Wang
PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems. CoRR (2021)
Ting-Han Fan, Yubo Wang
Soft Actor-Critic With Integer Actions. CoRR (2021)
Ting-Han Fan, Peter J. Ramadge
A Contraction Approach to Model-based Reinforcement Learning. CoRR (2020)
Yueh-Hua Wu, Ting-Han Fan, Peter J. Ramadge, Hao Su
Model Imitation for Model-Based Reinforcement Learning. CoRR (2019)
Ting-Han Fan, I-Hsiang Wang
Rumor Source Detection: A Probabilistic Perspective. ICASSP (2018)
Ting-Han Fan, Kwang-Cheng Chen
A New Social Network Model of Online Forums. GLOBECOM (2017)