Nicholas M. Boffi

37 papers A 1Misc 1Journal 31Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
One-step Language Modeling via Continuous Denoising.
CoRR
Chanhyuk Lee, Jaehoon Yoo, Manan Agarwal, Sheel Shah, Jerry Huang, Aditi Raghunathan, Seunghoon Hong, Nicholas M. Boffi, Jinwoo Kim
2025 J jnl
BoltzNCE: Learning Likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation.
CoRR
Rishal Aggarwal, Jacky Chen, Nicholas M. Boffi, David Ryan Koes
2025 J jnl
Eigenfunction Extraction for Ordered Representation Learning.
CoRR
Burak Varici, Che-Ping Tsai, Ritabrata Ray, Nicholas M. Boffi, Pradeep Ravikumar
2025 J jnl
Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds.
CoRR
Oscar Davis, Michael S. Albergo, Nicholas M. Boffi, Michael M. Bronstein, Avishek Joey Bose
2025 J jnl
How to build a consistency model: Learning flow maps via self-distillation.
CoRR
Nicholas M. Boffi, Michael S. Albergo, Eric Vanden-Eijnden
2025 J jnl
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.
J. Mach. Learn. Res.
Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden
2025 J jnl
Sublinear iterations can suffice even for DDPMs.
CoRR
Matthew S. Zhang, Stephen Huan, Jerry Huang, Nicholas M. Boffi, Sitan Chen, Sinho Chewi
2025 J jnl
Test-time scaling of diffusions with flow maps.
CoRR
Amirmojtaba Sabour, Michael S. Albergo, Carles Domingo-Enrich, Nicholas M. Boffi, Sanja Fidler, Karsten Kreis, Eric Vanden-Eijnden
2024 J jnl
Flow Map Matching.
CoRR
Nicholas M. Boffi, Michael S. Albergo, Eric Vanden-Eijnden
2024 J jnl
Model-free learning of probability flows: Elucidating the nonequilibrium dynamics of flocking.
CoRR
Nicholas M. Boffi, Eric Vanden-Eijnden
2024 J jnl
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes.
CoRR
Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden
2024 J jnl
Shallow diffusion networks provably learn hidden low-dimensional structure.
CoRR
Nicholas M. Boffi, Arthur Jacot, Stephen Tu, Ingvar M. Ziemann
2024 — conf
SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers.
ECCV (77)
Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie
2024 J jnl
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.
CoRR
Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie
2023 J jnl
Agile Catching with Whole-Body MPC and Blackbox Policy Learning.
CoRR
Saminda Abeyruwan, Alex Bewley, Nicholas M. Boffi, Krzysztof Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu
2023 J jnl
Deep learning probability flows and entropy production rates in active matter.
CoRR
Nicholas M. Boffi, Eric Vanden-Eijnden
2023 J jnl
Multimarginal generative modeling with stochastic interpolants.
CoRR
Michael S. Albergo, Nicholas M. Boffi, Michael Lindsey, Eric Vanden-Eijnden
2023 J jnl
Probability flow solution of the Fokker-Planck equation.
Mach. Learn. Sci. Technol.
Nicholas M. Boffi, Eric Vanden-Eijnden
2023 J jnl
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.
CoRR
Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden
2023 J jnl
Stochastic interpolants with data-dependent couplings.
CoRR
Michael S. Albergo, Mark Goldstein, Nicholas M. Boffi, Rajesh Ranganath, Eric Vanden-Eijnden
2022 — conf
Adversarially Robust Stability Certificates can be Sample-Efficient.
L4DC
Thomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi, Jean-Jacques E. Slotine, Nikolai Matni
2022 J jnl
Nonparametric adaptive control and prediction: theory and randomized algorithms.
J. Mach. Learn. Res.
Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine
2022 J jnl
Probability flow solution of the Fokker-Planck equation.
CoRR
Nicholas M. Boffi, Eric Vanden-Eijnden
2022 A conf
The role of optimization geometry in single neuron learning.
AISTATS
Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine
2021 J jnl
Adversarially Robust Stability Certificates can be Sample-Efficient.
CoRR
Thomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi, Jean-Jacques E. Slotine, Nikolai Matni
2021 J jnl
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction.
Neural Comput.
Nicholas M. Boffi, Jean-Jacques E. Slotine
2021 — conf
Nonparametric Adaptive Control and Prediction: Theory and Randomized Algorithms.
CDC
Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine
2021 J jnl
Random features for adaptive nonlinear control and prediction.
CoRR
Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine
2021 — conf
Regret Bounds for Adaptive Nonlinear Control.
L4DC
Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine
2020 J jnl
A Continuous-Time Analysis of Distributed Stochastic Gradient.
Neural Comput.
Nicholas M. Boffi, Jean-Jacques E. Slotine
2020 Misc conf
Learning Stability Certificates from Data.
CoRL
Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani
2020 J jnl
Learning Stability Certificates from Data.
CoRR
Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani
2020 J jnl
Parallel three-dimensional simulations of quasi-static elastoplastic solids.
Comput. Phys. Commun.
Nicholas M. Boffi, Chris H. Rycroft
2020 J jnl
Regret Bounds for Adaptive Nonlinear Control.
CoRR
Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine
2020 J jnl
The Reflectron: Exploiting geometry for learning generalized linear models.
CoRR
Nicholas M. Boffi, Jean-Jacques E. Slotine
2019 J jnl
Higher-order algorithms for nonlinearly parameterized adaptive control.
CoRR
Nicholas M. Boffi, Jean-Jacques E. Slotine
2018 J jnl
A continuous-time analysis of distributed stochastic gradient.
CoRR
Nicholas M. Boffi, Jean-Jacques E. Slotine