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Poster
Fri 11:00 Task-Agnostic Machine-Learning-Assisted Inference
Jiacheng Miao · Qiongshi Lu
Workshop
Invariant Graphon Networks: Approximation and Cut Distance
Daniel Herbst · Stefanie Jegelka
Poster
Wed 16:30 The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks
Simon Mataigne · Johan Mathe · Sophia Sanborn · Christopher Hillar · Nina Miolane
Workshop
Galois features: Nearly-complete invariants on symmetric matrices
Ben Blum-Smith · Ningyuan Huang · Marco Cuturi · Soledad Villar
Workshop
A Layer Selection Approach to Test Time Adaptation
Sabyasachi Sahoo · Mostafa ElAraby · JONAS NGNAWE · Yann Pequignot · Frederic Precioso · Christian Gagné
Workshop
Sun 9:30 Machine learning-guided sequence design for mRNA and gene therapy
Georg Seelig
Poster
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms
Jiechao Guan · Hui Xiong
Poster
Thu 16:30 Distributional Successor Features Enable Zero-Shot Policy Optimization
Chuning Zhu · Xinqi Wang · Tyler Han · Simon Du · Abhishek Gupta
Poster
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
Chen Huang · Skyler Seto · Samira Abnar · David Grangier · Navdeep Jaitly · Joshua Susskind
Poster
Wed 11:00 Zero-Shot Transfer of Neural ODEs
Tyler Ingebrand · Adam Thorpe · Ufuk Topcu
Poster
Wed 11:00 A Metalearned Neural Circuit for Nonparametric Bayesian Inference
Jake Snell · Gianluca Bencomo · Tom Griffiths
Poster
Thu 16:30 Enhancing Domain Adaptation through Prompt Gradient Alignment
Viet Hoang Phan · Tung Lam Tran · Quyen Tran · Trung Le