firstbacksecondback
103 Results
|
Oral
|
Tue 2:00 |
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo · Chenghao Liu · Akshat Kumar · Caiming Xiong · Silvio Savarese · Doyen Sahoo |
|
|
Poster
|
Wed 2:30 |
TSLANet: Rethinking Transformers for Time Series Representation Learning Emadeldeen Eldele · Mohamed Ragab · Zhenghua Chen · Min Wu · Xiaoli Li |
|
|
Poster
|
Tue 2:30 |
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo · Chenghao Liu · Akshat Kumar · Caiming Xiong · Silvio Savarese · Doyen Sahoo |
|
|
Poster
|
Tue 4:30 |
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff · Zhong Yi Wan · Jeffrey Parker · Stephan Hoyer · Volodymyr Kuleshov · Fei Sha · Leonardo Zepeda-Nunez |
|
|
Poster
|
Tue 2:30 |
IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting Zijie Pan · Yushan Jiang · Sahil Garg · Anderson Schneider · Yuriy Nevmyvaka · Dongjin Song |
|
|
Poster
|
Tue 2:30 |
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention Romain Ilbert · Ambroise Odonnat · Vasilii Feofanov · Aladin Virmaux · Giuseppe Paolo · Themis Palpanas · Ievgen Redko |
|
|
Poster
|
Thu 4:30 |
Neuro-Symbolic Temporal Point Processes Yang Yang · Chao Yang · Boyang Li · Yinghao Fu · Shuang Li |
|
|
Oral
|
Tue 2:15 |
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention Romain Ilbert · Ambroise Odonnat · Vasilii Feofanov · Aladin Virmaux · Giuseppe Paolo · Themis Palpanas · Ievgen Redko |
|
|
Poster
|
Thu 4:30 |
PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models Deividas Eringis · john leth · Zheng-Hua Tan · Rafal Wisniewski · Mihaly Petreczky |
|
|
Poster
|
Thu 2:30 |
Time Weaver: A Conditional Time Series Generation Model Sai Shankar Narasimhan · Shubhankar Agarwal · Oguzhan Akcin · Sujay Sanghavi · Sandeep Chinchali |
|
|
Workshop
|
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States Noga Mudrik · Gal Mishne · Adam Charles |
||
|
Poster
|
Tue 2:30 |
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules Weijieying Ren · Xiaoting Li · Huiyuan Chen · Vineeth Rakesh · Zhuoyi Wang · Mahashweta Das · Vasant Honavar |