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Poster
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Fri 11:00
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Task-Agnostic Machine-Learning-Assisted Inference
Jiacheng Miao · Qiongshi Lu
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Workshop
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A machine learning approach to duality in statistical physics
Prateek Gupta · Andrea Ferrari · Nabil Iqbal
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Workshop
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Sun 8:30
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Invited talk: data-driven vs inductive bias-driven methods in machine learning and the physical sciences
Lukas Heinrich
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Workshop
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A perspective on symbolic machine learning in physical sciences
Nour Makke · Sanjay Chawla
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Affinity Event
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Physics Informed Model Based Reinforcement Learning for Controlling Synchronization of Weakly Coupled Kuramoto System
Alif Bin Abdul Qayyum · A Abeer
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Poster
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Thu 16:30
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Enhancing Domain Adaptation through Prompt Gradient Alignment
Viet Hoang Phan · Tung Lam Tran · Quyen Tran · Trung Le
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Workshop
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A Layer Selection Approach to Test Time Adaptation
Sabyasachi Sahoo · Mostafa ElAraby · JONAS NGNAWE · Yann Pequignot · Frederic Precioso · Christian Gagné
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Poster
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Wed 11:00
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Zero-Shot Transfer of Neural ODEs
Tyler Ingebrand · Adam Thorpe · Ufuk Topcu
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Poster
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Thu 16:30
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Distributional Successor Features Enable Zero-Shot Policy Optimization
Chuning Zhu · Xinqi Wang · Tyler Han · Simon Du · Abhishek Gupta
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Poster
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Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
Jiechao Guan · Hui Xiong
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Poster
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Wed 11:00
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A Metalearned Neural Circuit for Nonparametric Bayesian Inference
Jake Snell · Gianluca Bencomo · Tom Griffiths
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Poster
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Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
Chen Huang · Skyler Seto · Samira Abnar · David Grangier · Navdeep Jaitly · Joshua Susskind
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