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Workshop
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GenEFT: Understanding Statics and Dynamics of Model Generalization via Effective Theory
David Baek · Ziming Liu · Max Tegmark
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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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Workshop
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How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models
Unnseo Park · Venkatesh Sivaraman · Adam Perer
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Poster
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Thu 1:45
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Quadratic models for understanding catapult dynamics of neural networks
Libin Zhu · Chaoyue Liu · Adityanarayanan Radhakrishnan · Misha Belkin
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Poster
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Fri 1:45
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Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates
Nicholas Corrado · Josiah Hanna
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Poster
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Thu 1:45
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Dynamic Layer Tying for Parameter-Efficient Transformers
Tamir David-Hay · Lior Wolf
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Poster
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Thu 7:30
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Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems
Orren Karniol-Tambour · David Zoltowski · E. Mika Diamanti · Lucas Pinto · Carlos Brody · David Tank · Jonathan Pillow
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Poster
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Thu 1:45
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Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
Fan-Ming Luo · Tian Xu · Xingchen Cao · Yang Yu
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Poster
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Tue 7:30
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Estimating Conditional Mutual Information for Dynamic Feature Selection
Soham Gadgil · Ian Covert · Su-In Lee
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Poster
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Fri 7:30
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Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
Xiang Lan · Hanshu Yan · Shenda Hong · Mengling Feng
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Poster
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Thu 7:30
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Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
Arnab Mondal · Siba Smarak Panigrahi · Sai Rajeswar · Kaleem Siddiqi · Siamak Ravanbakhsh
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Workshop
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Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
Artur Toshev · Jonas A Erbesdobler · Nikolaus Adams · Johannes Brandstetter
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