| ★ |  A Unified Approach to Analysis and Design of Denoising Markov Models | Microsoft Research @microsoftresearch | 89 | Estados Unidos | |
| 17 |  Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 2 - Score matching | Stanford Online @stanfordonline | 19.8K | Estados Unidos | 88 |
| 20 |  Stanford CME296 Diffusion & Large Vision Models | Spring 2026 | Lecture 3 - Flow matching | Stanford Online @stanfordonline | 13.7K | Estados Unidos | 87 |
| 14 |  Reinforce Adjoint Matching: Scaling Diffusion RL | Microsoft Research @microsoftresearch | 8.4K | Estados Unidos | 89 |
| 13 |  Rare event analysis via stochastic optimal control | Microsoft Research @microsoftresearch | 3.0K | Estados Unidos | 89 |
| 9 |  Convergence Analysis for Fast High-Order ODE Solvers in Diffusion Probabilistic Models | Microsoft Research @microsoftresearch | 1.4K | Estados Unidos | 90 |
| 16 |  Constrained Generative AI for Materials Inverse Design | Microsoft Research @microsoftresearch | 1.0K | Estados Unidos | 88 |
| 19 |  Dimensionality Reduction Methods for Quantum Simulation of Chemical Processes | Simons Institute for the Theory of Computing @simonsinstitute | 916 | Estados Unidos | 87 |
| 15 |  Inferring Unobserved Trajectories from Multiple Temporal Snapshots | Microsoft Research @microsoftresearch | 608 | Estados Unidos | 88 |
| 1 |  A non-Markovian approach to diffusion-based sampling | Microsoft Research @microsoftresearch | 428 | Estados Unidos | 93 |
| 12 |  De novo Generation for Molecular Structure Elucidation from Mass Spectrometry | Microsoft Research @microsoftresearch | 416 | Estados Unidos | 89 |
| 5 |  Generative Models for Molecular Dynamics Across Timescales | Microsoft Research @microsoftresearch | 296 | Estados Unidos | 91 |
| 11 |  Meta Flow Maps | Microsoft Research @microsoftresearch | 266 | Estados Unidos | 89 |
| 6 |  Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models | Microsoft Research @microsoftresearch | 254 | Estados Unidos | 90 |
| 4 |  Physics and information theory of generative diffusion | Microsoft Research @microsoftresearch | 237 | Estados Unidos | 91 |
| 10 |  Tractable Mapping Entropy and Generative Backmapping via Split-Flows | Microsoft Research @microsoftresearch | 216 | Estados Unidos | 90 |
| 7 |  Where the Score Lives: What Wavelets Reveal About Diffusion Models | Microsoft Research @microsoftresearch | 184 | Estados Unidos | 90 |
| 2 |  Extending measure dynamics beyond generative modeling | Microsoft Research @microsoftresearch | 179 | Estados Unidos | 93 |
| 8 |  Designing Dynamic Measure Transport for Sampling | Microsoft Research @microsoftresearch | 155 | Estados Unidos | 90 |
| 18 |  Data-Driven Discovery and Verification of Singularities in Nonlinear Partial Differential Equations | Microsoft Research @microsoftresearch | 142 | Estados Unidos | 88 |
| 3 |  Blind denoising diffusion models and the blessings of dimensionality | Microsoft Research @microsoftresearch | 120 | Estados Unidos | 92 |