 Underdamped Diffusion Bridges with Applications to SamplingInternational Conference on Learning Representations (ICLR), 2025 |
 End-To-End Learning of Gaussian Mixture Priors for Diffusion SamplerInternational Conference on Learning Representations (ICLR), 2025 |
 Score-Optimal Diffusion SchedulesNeural Information Processing Systems (NeurIPS), 2024 |
 Sampling from Boltzmann densities with physics informed low-rank formatsScale Space and Variational Methods in Computer Vision (SSVM), 2024 |
 Sequential Controlled Langevin DiffusionsInternational Conference on Learning Representations (ICLR), 2024 |
 Training Neural Samplers with Reverse Diffusive KL DivergenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 |
 Quasi-Bayes meets VinesNeural Information Processing Systems (NeurIPS), 2024 |
 Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing
FlowsNeural Information Processing Systems (NeurIPS), 2024 |
 Liouville Flow Importance SamplerInternational Conference on Machine Learning (ICML), 2024 |
 Sampling in Unit Time with Kernel Fisher-Rao FlowInternational Conference on Machine Learning (ICML), 2024 A. Maurais Youssef Marzouk |
 Diffusion Generative Flow Samplers: Improving learning signals through
partial trajectory optimizationInternational Conference on Learning Representations (ICLR), 2023 |
 Advances in machine-learning-based sampling motivated by lattice quantum
chromodynamicsNature Reviews Physics (Nat. Rev. Phys.), 2023 |
 Improved sampling via learned diffusionsInternational Conference on Learning Representations (ICLR), 2023 |
 Transport meets Variational Inference: Controlled Monte Carlo DiffusionsInternational Conference on Learning Representations (ICLR), 2023 |
 Adaptive Annealed Importance Sampling with Constant Rate ProgressInternational Conference on Machine Learning (ICML), 2023 |
 Entropy-based Training Methods for Scalable Neural Implicit SamplerNeural Information Processing Systems (NeurIPS), 2023 |
 Generative Sliced MMD Flows with Riesz KernelsInternational Conference on Learning Representations (ICLR), 2023 |
 Denoising Diffusion SamplersInternational Conference on Learning Representations (ICLR), 2023 |
