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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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Competition
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Sat 13:50
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#1st Place- MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability
Fabien Casenave
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Workshop
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Sun 15:30
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Contributed talk: The State of Julia for Scientific Machine Learning
Edward Berman
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Poster
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Fri 16:30
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Geometric Analysis of Nonlinear Manifold Clustering
Nimita Shinde · Tianjiao Ding · Daniel Robinson · Rene Vidal
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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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Workshop
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Sun 9:30
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Machine learning-guided sequence design for mRNA and gene therapy
Georg Seelig
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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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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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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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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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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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