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Workshop
Noise-conditional Maximum Likelihood Estimation with Score-based Sampling
Henry Li · Yuval Kluger
Workshop
Posterior samples of source galaxies in strong gravitational lenses with score-based priors
Alexandre Adam · Adam Coogan · Nikolay Malkin · Ronan Legin · Laurence Perreault-Levasseur · Yashar Hezaveh · Yoshua Bengio
Poster
Thu 14:00 Convergence for score-based generative modeling with polynomial complexity
Holden Lee · Jianfeng Lu · Yixin Tan
Poster
Thu 9:00 Score-Based Diffusion meets Annealed Importance Sampling
Arnaud Doucet · Will Grathwohl · Alexander Matthews · Heiko Strathmann
Poster
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
Cheng Lu · Yuhao Zhou · Fan Bao · Jianfei Chen · Chongxuan LI · Jun Zhu
Workshop
Sat 13:00 Contributed talk: Alexandre Adam, "Posterior samples of source galaxies in strong gravitational lenses with score-based priors"
Alexandre Adam · Siddharth Mishra-Sharma
Poster
Wed 14:00 LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
Ali Eshragh · Fred Roosta · Asef Nazari · Michael Mahoney
Poster
Thu 14:00 Subquadratic Kronecker Regression with Applications to Tensor Decomposition
Matthew Fahrbach · Gang Fu · Mehrdad Ghadiri
Poster
Wed 9:00 Off-Policy Evaluation with Deficient Support Using Side Information
Nicolò Felicioni · Maurizio Ferrari Dacrema · Marcello Restelli · Paolo Cremonesi
Workshop
Proposal of a Score Based Approach to Sampling Using Monte Carlo Estimation of Score and Oracle Access to Target Density
Curtis McDonald · Andrew Barron
Workshop
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
Sitan Chen · Sinho Chewi · Jerry Li · Yuanzhi Li · Adil Salim · Anru Zhang
Poster
Tue 9:00 Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
Aleksandros Sobczyk · Mathieu Luisier