Nicholas M. Boffi
- Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
2023/03/15 by Michael S. Albergo, Nicholas M. Boffi, Albergo, Michael S. +3 · 182 citations
Computer Science · Economics, Econometrics and Finance · Mathematics · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Probability (math.PR) #Statistical Methods and Bayesian Inference #Stochastic processes and financial applications
- SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers
2024/01/16 by Nanye Ma, Ma, Nanye, Michael S. Albergo +8 · 157 citations
Computer Science · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Music and Audio Processing
- Stochastic interpolants with data-dependent couplings
2023/10/05 by Michael S. Albergo, Albergo, Michael S., Nicholas M. Boffi +6 · 25 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Cell Image Analysis Techniques #Computer Graphics and Visualization Techniques
- Flow map matching with stochastic interpolants: A mathematical framework for consistency models
2024/06/11 by Nicholas M. Boffi, Boffi, Nicholas M., Michael S. Albergo +3 · 22 citations
Engineering · Computer Science · #Traffic Prediction and Management Techniques #Time Series Analysis and Forecasting
- How to build a consistency model: Learning flow maps via self-distillation
2025/05/24 by Nicholas M. Boffi, Boffi, Nicholas M., Michael S. Albergo +4 · 2 voices · 26 citations
Computer Science · #Intelligent Tutoring Systems and Adaptive Learning #Online Learning and Analytics #cs.CV #cs.LG
- Learning Stability Certificates from Data
2020/08/13 by Nicholas M. Boffi, Boffi, Nicholas M., Stephen Tu +7 · 5 citations
Engineering · Physics and Astronomy · #Advanced Control Systems Optimization #Control Systems and Identification #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Systems and Control (eess.SY) #electronic engineering #information engineering
- Nonparametric adaptive control and prediction: theory and randomized algorithms
2021/06/07 by Nicholas M. Boffi, Boffi, Nicholas M., Stephen Tu +3 · 4 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Optimization and Control (math.OC)
- Multimarginal generative modeling with stochastic interpolants
2023/10/05 by Michael S. Albergo, Nicholas M. Boffi, Albergo, Michael S. +5 · 4 citations
Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Generative Adversarial Networks and Image Synthesis
- Agile Catching with Whole-Body MPC and Blackbox Policy Learning
2023/06/14 by Saminda Abeyruwan, Alex Bewley, Abeyruwan, Saminda +21 · 3 citations
Computer Science · Medicine · #FOS: Computer and information sciences #Human Pose and Action Recognition #Neurological disorders and treatments #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Deep learning probability flows and entropy production rates in active matter
2024/06/11 by Nicholas M. Boffi, Eric Vanden‐Eijnden · 1 voice · 3 citations
Physics and Astronomy · Neuroscience · #Micro and Nano Robotics #Advanced Thermodynamics and Statistical Mechanics #Neural dynamics and brain function
- BoltzNCE: Learning Likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation
2025/07/01 by Rishal Aggarwal, Aggarwal, Rishal, Jacky Chen +5 · 1 voice · 2 citations
#cs.LG #physics.bio-ph
- Shallow diffusion networks provably learn hidden low-dimensional structure
2024/10/15 by Nicholas M. Boffi, Boffi, Nicholas M., Arthur Paul Jacot +5 · 2 citations
Computer Science · #Neural Networks and Applications #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
- Model-free learning of probability flows: Elucidating the nonequilibrium dynamics of flocking
2024/11/21 by Nicholas M. Boffi, Boffi, Nicholas M., Eric Vanden‐Eijnden +1 · 1 citation
Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Probability (math.PR) #Quantum many-body systems #Statistical Mechanics (cond-mat.stat-mech) #stochastic dynamics and bifurcation