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Wu Lin - A framework for designing (non-diagonal) adaptive training methods - IPAM at UCLA
Thomas Swinburne - Learning uncertainty-aware models of defect kinetics at scale - IPAM at UCLA
Invariant Prediction for Generalization in Reinforcement Learning
Dean Eckles: Effect sizes and decisions — IC2S2 2025 Keynote
0298 Spiking Neuron Models: Single Neurons, Populations, Plasticity
Learning Invariant Features Using Inertial Priors
Invariance and Stability to Deformations of Deep Convolutional Representations
Karen Willcox - Learning Structure-exploiting Reduced Models with Operator Inference
Are Forward KL and Reverse KL always Mode-Covering and Mode-Seeking The Asymmetry of KL Divergence
Task adapted biological foundation models uncover perturbation centric representations
Jingyuan LIU: Statistical Inference for Mediation Models with High Dimensional Exposures.. #ICBS2026
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Last Updated: August 18, 2026
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