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Learning path-splines via Acceleration Matching

Global selection, local completion: a probabilistic anatomy of diffusion U-Net

Understanding and enhancing diffusion model: a quantification of its generalizability, and a...

Optimal Inference Schedules for Masked Diffusion Models

Normalizing Flow Maps

Talk by Kirill Neklyudov (University of Montreal)

Finite-particles rates for drifting models

Talk by Valentin de Bortoli (Google DeepMind)

Efficient Reinforcement Learning for Diffusion Models

Guruswami Receives Test of Time Awards at STOC and CCC 2026

Simons Institute Director Venkatesan Guruswami has been honored this summer with two 2026 Test of Time Awards for papers that transformed coding theory and pseudorandomness, and emerged from a common algebraic core.