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Poster
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FAENet: Frame Averaging Equivariant GNNs for Materials Modeling ALEXANDRE DUVAL · Victor Schmidt · Alex Hernandez-Garcia · Fragkiskos Malliaros · Yoshua Bengio · Santiago Miret · David Rolnick |
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Poster
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Multi-Objective GFlowNets Moksh Jain · Sharath Chandra Raparthy · Alex Hernandez-Garcia · Jarrid Rector-Brooks · Yoshua Bengio · Santiago Miret · Emmanuel Bengio |
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Poster
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Understanding the Role of Feedback in Online Learning with Switching Costs Duo Cheng · Xingyu Zhou · Bo Ji |
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Poster
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Federated Conformal Predictors for Distributed Uncertainty Quantification Charles Lu · Yaodong Yu · Sai Karimireddy · Michael Jordan · Ramesh Raskar |
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Poster
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Adaptive Smoothing Gradient Learning for Spiking Neural Networks Ziming Wang · Runhao Jiang · Shuang Lian · Rui Yan · Huajin Tang |
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Poster
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Algorithmic Collective Action in Machine Learning Moritz Hardt · Eric Mazumdar · Celestine Mendler-Dünner · Tijana Zrnic |
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Poster
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Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-time Policy Adaptation Andi Peng · Aviv Netanyahu · Mark Ho · Tianmin Shu · Andreea Bobu · Julie Shah · Pulkit Agrawal |
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Poster
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Memory-Based Meta-Learning on Non-Stationary Distributions Tim Genewein · Gregoire Deletang · Anian Ruoss · Li Kevin Wenliang · Elliot Catt · Vincent Dutordoir · Jordi Grau-Moya · Laurent Orseau · Marcus Hutter · Joel Veness |
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Poster
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Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry Aimee Maurais · Terrence Alsup · Benjamin Peherstorfer · Youssef Marzouk |
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Poster
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For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal Yingdong Hu · Renhao Wang · Li Li · Yang Gao |
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Poster
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Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries Charlotte Loh · Seungwook Han · Shivchander Sudalairaj · Rumen Dangovski · Kai Xu · Florian Wenzel · Marin Solja\v{c}i\'{c} · Akash Srivastava |
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Poster
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Theoretical bounds on the network community profile from low-rank semi-definite programming Yufan Huang · C. Seshadhri · David Gleich |