Albergo, Michael Samuel

12 publications

ICLRW 2025 Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo Lee Cheuk Kit, Paul Jeha, Jes Frellsen, Pietro Lio, Michael Samuel Albergo, Francisco Vargas
NeurIPS 2025 Dynamic Test-Time Compute Scaling in Control Policy: Difficulty-Aware Stochastic Interpolant Policy Inkook Chun, Seungjae Lee, Michael Samuel Albergo, Saining Xie, Eric Vanden-Eijnden
TMLR 2025 Flow mAP Matching with Stochastic Interpolants: A Mathematical Framework for Consistency Models Nicholas Matthew Boffi, Michael Samuel Albergo, Eric Vanden-Eijnden
NeurIPS 2025 How to Build a Consistency Model: Learning Flow Maps via Self-Distillation Nicholas Matthew Boffi, Michael Samuel Albergo, Eric Vanden-Eijnden
ICML 2025 LEAPS: A Discrete Neural Sampler via Locally Equivariant Networks Peter Holderrieth, Michael Samuel Albergo, Tommi Jaakkola
ICLRW 2025 LEAPS: A Discrete Neural Sampler via Locally Equivariant Networks Peter Holderrieth, Michael Samuel Albergo, Tommi Jaakkola
NeurIPS 2025 Multitask Learning with Stochastic Interpolants Hugo Negrel, Florentin Coeurdoux, Michael Samuel Albergo, Eric Vanden-Eijnden
ICML 2025 NETS: A Non-Equilibrium Transport Sampler Michael Samuel Albergo, Eric Vanden-Eijnden
ICLR 2024 Multimarginal Generative Modeling with Stochastic Interpolants Michael Samuel Albergo, Nicholas Matthew Boffi, Michael Lindsey, Eric Vanden-Eijnden
ICML 2024 Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes Yifan Chen, Mark Goldstein, Mengjian Hua, Michael Samuel Albergo, Nicholas Matthew Boffi, Eric Vanden-Eijnden
ICML 2024 Stochastic Interpolants with Data-Dependent Couplings Michael Samuel Albergo, Mark Goldstein, Nicholas Matthew Boffi, Rajesh Ranganath, Eric Vanden-Eijnden
ICLR 2023 Building Normalizing Flows with Stochastic Interpolants Michael Samuel Albergo, Eric Vanden-Eijnden