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ORCIDNicholas M. Boffi
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Journal Articles
- 2023
[j5]Nicholas M. Boffi
, Eric Vanden-Eijnden:
Probability flow solution of the Fokker-Planck equation. Mach. Learn. Sci. Technol. 4(3): 35012 (2023)- 2022
- [j4]Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine:
Nonparametric adaptive control and prediction: theory and randomized algorithms. J. Mach. Learn. Res. 23: 281:1-281:46 (2022) - 2021
- [j3]Nicholas M. Boffi, Jean-Jacques E. Slotine:
Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction. Neural Comput. 33(3): 590-673 (2021) - 2020
- [j2]Nicholas M. Boffi, Chris H. Rycroft:
Parallel three-dimensional simulations of quasi-static elastoplastic solids. Comput. Phys. Commun. 257: 107254 (2020) - [j1]Nicholas M. Boffi, Jean-Jacques E. Slotine:
A Continuous-Time Analysis of Distributed Stochastic Gradient. Neural Comput. 32(1): 36-96 (2020)
Conference and Workshop Papers
- 2024
- [c9]Michael S. Albergo, Nicholas Matthew Boffi, Michael Lindsey, Eric Vanden-Eijnden:
Multimarginal Generative Modeling with Stochastic Interpolants. ICLR 2024 - [c8]Michael S. Albergo, Mark Goldstein, Nicholas Matthew Boffi, Rajesh Ranganath, Eric Vanden-Eijnden:
Stochastic Interpolants with Data-Dependent Couplings. ICML 2024 - [c7]Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas Matthew Boffi, Eric Vanden-Eijnden:
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes. ICML 2024 - 2023
- [c6]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 E. Slotine, Stephen Tu:
Agile Catching with Whole-Body MPC and Blackbox Policy Learning. L4DC 2023: 851-863 - 2022
- [c5]Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine:
The role of optimization geometry in single neuron learning. AISTATS 2022: 11528-11549 - [c4]Thomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi, Jean-Jacques E. Slotine, Nikolai Matni:
Adversarially Robust Stability Certificates can be Sample-Efficient. L4DC 2022: 532-545 - 2021
- [c3]Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine:
Nonparametric Adaptive Control and Prediction: Theory and Randomized Algorithms. CDC 2021: 2935-2942 - [c2]Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine:
Regret Bounds for Adaptive Nonlinear Control. L4DC 2021: 471-483 - 2020
- [c1]Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani:
Learning Stability Certificates from Data. CoRL 2020: 1341-1350
Informal and Other Publications
- 2024
- [i16]Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie:
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers. CoRR abs/2401.08740 (2024) - [i15]Yifan Chen, Mark Goldstein, Mengjian Hua, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden:
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes. CoRR abs/2403.13724 (2024) - [i14]Nicholas M. Boffi, Michael S. Albergo, Eric Vanden-Eijnden:
Flow Map Matching. CoRR abs/2406.07507 (2024) - 2023
- [i13]Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden:
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions. CoRR abs/2303.08797 (2023) - [i12]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:
Agile Catching with Whole-Body MPC and Blackbox Policy Learning. CoRR abs/2306.08205 (2023) - [i11]Nicholas M. Boffi, Eric Vanden-Eijnden:
Deep learning probability flows and entropy production rates in active matter. CoRR abs/2309.12991 (2023) - [i10]Michael S. Albergo, Nicholas M. Boffi, Michael Lindsey, Eric Vanden-Eijnden:
Multimarginal generative modeling with stochastic interpolants. CoRR abs/2310.03695 (2023) - [i9]Michael S. Albergo, Mark Goldstein, Nicholas M. Boffi, Rajesh Ranganath, Eric Vanden-Eijnden:
Stochastic interpolants with data-dependent couplings. CoRR abs/2310.03725 (2023) - 2022
- [i8]Nicholas M. Boffi, Eric Vanden-Eijnden:
Probability flow solution of the Fokker-Planck equation. CoRR abs/2206.04642 (2022) - 2021
- [i7]Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine:
Random features for adaptive nonlinear control and prediction. CoRR abs/2106.03589 (2021) - [i6]Thomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi, Jean-Jacques E. Slotine, Nikolai Matni:
Adversarially Robust Stability Certificates can be Sample-Efficient. CoRR abs/2112.10690 (2021) - 2020
- [i5]Nicholas M. Boffi, Jean-Jacques E. Slotine:
The Reflectron: Exploiting geometry for learning generalized linear models. CoRR abs/2006.08575 (2020) - [i4]Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani:
Learning Stability Certificates from Data. CoRR abs/2008.05952 (2020) - [i3]Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine:
Regret Bounds for Adaptive Nonlinear Control. CoRR abs/2011.13101 (2020) - 2019
- [i2]Nicholas M. Boffi, Jean-Jacques E. Slotine:
Higher-order algorithms for nonlinearly parameterized adaptive control. CoRR abs/1912.13154 (2019) - 2018
- [i1]Nicholas M. Boffi, Jean-Jacques E. Slotine:
A continuous-time analysis of distributed stochastic gradient. CoRR abs/1812.10995 (2018)
Coauthor Index
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