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Nicholas M. Boffi

Nicholas Matthew Boffi

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2020 – today

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2024
[c10]
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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. ECCV (77) 2024: 23-40
[c9]
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Michael S. Albergo, Nicholas Matthew Boffi, Michael Lindsey, Eric Vanden-Eijnden:
Multimarginal Generative Modeling with Stochastic Interpolants. ICLR 2024
[c8]
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Michael S. Albergo, Mark Goldstein, Nicholas Matthew Boffi, Rajesh Ranganath, Eric Vanden-Eijnden:
Stochastic Interpolants with Data-Dependent Couplings. ICML 2024
[c7]
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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
[i16]
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  - journals/corr/abs-2401-08740
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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]
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  - journals/corr/abs-2403-13724
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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]
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  - journals/corr/abs-2406-07507
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Nicholas M. Boffi, Michael S. Albergo, Eric Vanden-Eijnden:
Flow Map Matching. CoRR abs/2406.07507 (2024)
2023
[j5]
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Nicholas M. Boffi, Eric Vanden-Eijnden:
Probability flow solution of the Fokker-Planck equation. Mach. Learn. Sci. Technol. 4(3): 35012 (2023)
[c6]
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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
[i13]
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  - journals/corr/abs-2303-08797
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Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden:
Stochastic Interpolants: A Unifying Framework for Flows and Diffusions. CoRR abs/2303.08797 (2023)
[i12]
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  - journals/corr/abs-2306-08205
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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]
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  - journals/corr/abs-2309-12991
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Nicholas M. Boffi, Eric Vanden-Eijnden:
Deep learning probability flows and entropy production rates in active matter. CoRR abs/2309.12991 (2023)
[i10]
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  - journals/corr/abs-2310-03695
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Michael S. Albergo, Nicholas M. Boffi, Michael Lindsey, Eric Vanden-Eijnden:
Multimarginal generative modeling with stochastic interpolants. CoRR abs/2310.03695 (2023)
[i9]
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  - journals/corr/abs-2310-03725
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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
[j4]
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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)
[c5]
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Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine:
The role of optimization geometry in single neuron learning. AISTATS 2022: 11528-11549
[c4]
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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
[i8]
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  - journals/corr/abs-2206-04642
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Nicholas M. Boffi, Eric Vanden-Eijnden:
Probability flow solution of the Fokker-Planck equation. CoRR abs/2206.04642 (2022)
2021
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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)
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Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine:
Nonparametric Adaptive Control and Prediction: Theory and Randomized Algorithms. CDC 2021: 2935-2942
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Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine:
Regret Bounds for Adaptive Nonlinear Control. L4DC 2021: 471-483
[i7]
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  - journals/corr/abs-2106-03589
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Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine:
Random features for adaptive nonlinear control and prediction. CoRR abs/2106.03589 (2021)
[i6]
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  - journals/corr/abs-2112-10690
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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
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Nicholas M. Boffi, Chris H. Rycroft:
Parallel three-dimensional simulations of quasi-static elastoplastic solids. Comput. Phys. Commun. 257: 107254 (2020)
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Nicholas M. Boffi, Jean-Jacques E. Slotine:
A Continuous-Time Analysis of Distributed Stochastic Gradient. Neural Comput. 32(1): 36-96 (2020)
[c1]
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Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani:
Learning Stability Certificates from Data. CoRL 2020: 1341-1350
[i5]
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  - journals/corr/abs-2006-08575
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Nicholas M. Boffi, Jean-Jacques E. Slotine:
The Reflectron: Exploiting geometry for learning generalized linear models. CoRR abs/2006.08575 (2020)
[i4]
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  - journals/corr/abs-2008-05952
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Nicholas M. Boffi, Stephen Tu, Nikolai Matni, Jean-Jacques E. Slotine, Vikas Sindhwani:
Learning Stability Certificates from Data. CoRR abs/2008.05952 (2020)
[i3]
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  - journals/corr/abs-2011-13101
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Nicholas M. Boffi, Stephen Tu, Jean-Jacques E. Slotine:
Regret Bounds for Adaptive Nonlinear Control. CoRR abs/2011.13101 (2020)

2010 – 2019

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2019
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  - journals/corr/abs-1912-13154
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Nicholas M. Boffi, Jean-Jacques E. Slotine:
Higher-order algorithms for nonlinearly parameterized adaptive control. CoRR abs/1912.13154 (2019)
2018
[i1]
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  - journals/corr/abs-1812-10995
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Nicholas M. Boffi, Jean-Jacques E. Slotine:
A continuous-time analysis of distributed stochastic gradient. CoRR abs/1812.10995 (2018)

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