Boffi, Nicholas Matthew

8 publications

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