https://openreview.net/forum?id=gVenpttGec&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DICML.cc%2F2025%2FConference%2FAuthors%23your-submissions)
Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative...
Score-based Generative Models (SGMs) aim to sample from a target distribution by learning score functions using samples perturbed by Gaussian noise. Existing...
log concavity
https://www.kth.se/math/kalender/aryaman-jal-rook-matroids-and-log-concavity-of-p-eulerian-polynomials-1.1360446?date=2024-10-30&orgdate=2024-02-13&length=1&orglength=0
Aryaman Jal: Rook matroids and log-concavity of P-Eulerian polynomials | KTH
log concavity
https://www.kth.se/math/kalender/aryaman-jal-rook-matroids-and-log-concavity-of-p-eulerian-polynomials-1.1360446?date=2024-10-30&orgdate=2024-09-18&length=1&orglength=0
Aryaman Jal: Rook matroids and log-concavity of P-Eulerian polynomials | KTH
log concavity
https://arxiv.org/abs/2501.02298
[2501.02298] Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based...
Abstract page for arXiv paper 2501.02298: Beyond Log-Concavity and Score Regularity: Improved Convergence Bounds for Score-Based Generative Models in...