Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flowsby Yifan Chen, Daniel Zhengyu Huang,…
A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methodsby Piotr Tempczyk, Łukasz Garncarek, Dominik…
Flexible Tails for Normalizing Flowsby Tennessee Hickling, Dennis PrangleFirst submitted to arxiv on: 22 Jun…
Statistical Error Bounds for GANs with Nonlinear Objective Functionalsby Jeremiah BirrellFirst submitted to arxiv on:…
An Optimal Tightness Bound for the Simulation Lemmaby Sam Lobel, Ronald ParrFirst submitted to arxiv…
Advantage Alignment Algorithmsby Juan Agustin Duque, Milad Aghajohari, Tim Cooijmans, Razvan Ciuca, Tianyu Zhang, Gauthier…
Learning to Cover: Online Learning and Optimization with Irreversible Decisionsby Alexandre Jacquillat, Michael Lingzhi LiFirst…
Uncovering Latent Memories: Assessing Data Leakage and Memorization Patterns in Frontier AI Modelsby Sunny Duan,…
A Practical Diffusion Path for Samplingby Omar Chehab, Anna KorbaFirst submitted to arxiv on: 20…
Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Samplerby Jiang You, Arben Cela, René Natowicz,…