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Workshop
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Rough Transformers for Continuous and Efficient Time-Series Modelling
Fernando Moreno-Pino · Alvaro Arroyo · Harrison Waldon · Xiaowen Dong · Alvaro Cartea
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Workshop
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CONTINUOUS-TIME NEURAL NETWORKS FOR MODELING LINEAR DYNAMICAL SYSTEMS
Chinmay Datar · Adwait Datar · Felix Dietrich · Wil Schilders
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Poster
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Tue 7:30
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FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction
Yuxing Tian · Yiyan Qi · Fan Guo
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Poster
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Wed 7:30
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Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
Wenhan Cao · Wei Pan
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Poster
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Wed 7:30
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MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
Mara Finkelstein · Markus Freitag
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Workshop
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Development and Evaluation of Deep Learning Models for Cardiotocography Interpretation
Nicole Chiou · Nichole Young-Lin · Christopher Kelly · Julie Cattiau · Tiya Tiyasirichokchai · Abdoulaye Diack · Sanmi Koyejo · Katherine Heller · Mercy Asiedu
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Poster
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Tue 7:30
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Time Travel in LLMs: Tracing Data Contamination in Large Language Models
Shahriar Golchin · Mihai Surdeanu
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Poster
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Wed 1:45
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Language Models Represent Space and Time
Wes Gurnee · Max Tegmark
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Poster
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Fri 1:45
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FITS: Modeling Time Series with 10k Parameters
Zhijian Xu · Ailing Zeng · Qiang Xu
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Workshop
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LEAGUE++: EMPOWERING CONTINUAL ROBOT LEARNING THROUGH GUIDED SKILL ACQUISITION WITH LARGE LANGUAGE MODELS
Zhaoyi Li · Kelin Yu · Shuo Cheng · Danfei Xu
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Workshop
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Conditional Diffusion Models as Self-supervised Learning Backbone for Irregular Time Series
Hamed Shirzad · Ruizhi Deng · He Zhao · Frederick Tung
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Poster
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Wed 7:30
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TD-MPC2: Scalable, Robust World Models for Continuous Control
Nicklas Hansen · Hao Su · Xiaolong Wang
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