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Poster	Wed 14:00	On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory Yang Hu · Adam Wierman · Guannan Qu
Poster		Label-invariant Augmentation for Semi-Supervised Graph Classification Han Yue · Chunhui Zhang · Chuxu Zhang · Hongfu Liu
Workshop		Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? Matthew Farrell · Blake Bordelon · Shubhendu Trivedi · Cengiz Pehlevan
Workshop	Fri 9:30	PiRL: Participant-Invariant Representation Learning for Health Care using Wearable Data Zhaoyang Cao · Han Yu · Huiyuan Yang · Akane Sano
Poster		Domain Generalization by Learning and Removing Domain-specific Features Yu Ding · Lei Wang · Bin Liang · Shuming Liang · Yang Wang · Fang Chen
Poster	Wed 9:00	Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics Cristopher Salvi · Maud Lemercier · Andris Gerasimovics
Poster	Tue 14:00	Improving Self-Supervised Learning by Characterizing Idealized Representations Yann Dubois · Stefano Ermon · Tatsunori Hashimoto · Percy Liang
Poster	Thu 14:00	On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond Xiaotong Yuan · Ping Li
Poster		Learning Invariant Graph Representations for Out-of-Distribution Generalization Haoyang Li · Ziwei Zhang · Xin Wang · Wenwu Zhu
Workshop		Contrastive Unsupervised Learning of World Model with Invariant Causal Features Rudra PK Poudel · Harit Pandya · Roberto Cipolla
Workshop		Sparse Convolutions on Lie Groups Tycho van der Ouderaa · Mark van der Wilk
Workshop		Group invariant machine learning by fundamental domain projections Benjamin Aslan · Daniel Platt · David Sheard