Neural Sampling from Boltzmann Densities: Fisher-Rao Curves in the Wasserstein Geometryby Jannis Chemseddine, Christian Wald,…
Enhanced Transformer architecture for in-context learning of dynamical systemsby Matteo Rufolo, Dario Piga, Gabriele Maroni,…
Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Modelsby Jannik…
Revealing the Unseen: Guiding Personalized Diffusion Models to Expose Training Databy Xiaoyu Wu, Jiaru Zhang,…
NETS: A Non-Equilibrium Transport Samplerby Michael S. Albergo, Eric Vanden-EijndenFirst submitted to arxiv on: 3…
Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generationby Rohin Manvi,…
Density based Spatial Clustering of Lines via Probabilistic Generation of Neighbourhoodby Akanksha Das, Malay BhattacharyyaFirst…
Score-based pullback Riemannian geometryby Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane SchönliebFirst submitted to arxiv…
Bayesian Binary Searchby Vikash Singh, Matthew Khanzadeh, Vincent Davis, Harrison Rush, Emanuele Rossi, Jesse Shrader,…
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filteringby Klaus-Rudolf Kladny, Bernhard Schölkopf,…