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Poster
FAENet: Frame Averaging Equivariant GNNs for Materials Modeling
ALEXANDRE DUVAL · Victor Schmidt · Alex Hernandez-Garcia · Fragkiskos Malliaros · Yoshua Bengio · Santiago Miret · David Rolnick
Poster
Multi-Objective GFlowNets
Moksh Jain · Sharath Chandra Raparthy · Alex Hernandez-Garcia · Jarrid Rector-Brooks · Yoshua Bengio · Santiago Miret · Emmanuel Bengio
Poster
Understanding the Role of Feedback in Online Learning with Switching Costs
Duo Cheng · Xingyu Zhou · Bo Ji
Poster
Federated Conformal Predictors for Distributed Uncertainty Quantification
Charles Lu · Yaodong Yu · Sai Karimireddy · Michael Jordan · Ramesh Raskar
Poster
Adaptive Smoothing Gradient Learning for Spiking Neural Networks
Ziming Wang · Runhao Jiang · Shuang Lian · Rui Yan · Huajin Tang
Poster
Algorithmic Collective Action in Machine Learning
Moritz Hardt · Eric Mazumdar · Celestine Mendler-D√ľnner · Tijana Zrnic
Poster
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
Poster
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
Poster
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
Aimee Maurais · Terrence Alsup · Benjamin Peherstorfer · Youssef Marzouk
Poster
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal
Yingdong Hu · Renhao Wang · Li Li · Yang Gao
Poster
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
Poster
Theoretical bounds on the network community profile from low-rank semi-definite programming
Yufan Huang · C. Seshadhri · David Gleich