Boffi, Nicholas Matthew

11 publications

ICLR 2026 Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds Oscar Davis, Michael Samuel Albergo, Nicholas Matthew Boffi, Michael M. Bronstein, Joey Bose

ICLR 2026 Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-Based Models Xinyue Ai, Yutong He, Albert Gu, Ruslan Salakhutdinov, J Zico Kolter, Nicholas Matthew Boffi, Max Simchowitz

ICLR 2026 Much Ado About Noising: Dispelling the Myths of Generative Robotic Control Chaoyi Pan, Giri Anantharaman, Nai-Chieh Huang, Claire Jin, Daniel Pfrommer, Chenyang Yuan, Frank Permenter, Guannan Qu, Nicholas Matthew Boffi, Guanya Shi, Max Simchowitz

NeurIPS 2025 BoltzNCE: Learning Likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation Rishal Aggarwal, Jacky Chen, Nicholas Matthew Boffi, David Koes

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

ICLR 2025 Shallow Diffusion Networks Provably Learn Hidden Low-Dimensional Structure Nicholas Matthew Boffi, Arthur Jacot, Stephen Tu, Ingvar Ziemann

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

L4DC 2023 Agile Catching with Whole-Body MPC and Blackbox Policy Learning Saminda Abeyruwan, Alex Bewley, Nicholas Matthew Boffi, Krzysztof Marcin Choromanski, David B D’Ambrosio, Deepali Jain, Pannag R Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques Slotine, Stephen Tu