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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