Grant M. Rotskoff

1. Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity
   2024/05/24 by Haoxuan Chen, Chen, Haoxuan, Yinuo Ren +5 · 1 voice · 10 citations
   #cs.LG #cs.DC #math.NA #stat.ML
2. How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
   2024/10/04 by Yinuo Ren, Haoxuan Chen, Ren, Yinuo +5 · 16 citations
   Mathematics · Medicine · Neuroscience · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Numerical Analysis (math.NA)
3. Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
   2025/02/01 by Yinuo Ren, Ren, Yinuo, Haoxuan Chen +14 · 1 voice · 17 citations
   Mathematics · Engineering · #Numerical methods for differential equations #Advanced Numerical Methods in Computational Mathematics #Electromagnetic Simulation and Numerical Methods
4. Accurate and efficient structure elucidation from routine one-dimensional NMR spectra using multitask machine learning
   2024/08/15 by Frank Hu, Michael S. Chen, Hu, Frank +7 · 8 citations
   Chemistry · #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Molecular spectroscopy and chirality
5. Committor guided estimates of molecular transition rates
   2024/08/12 by Andrew Mitchell, Mitchell, Andrew R., Grant M. Rotskoff +1 · 4 citations
   Chemistry · Physics and Astronomy · #Chemical Physics (physics.chem-ph) #FOS: Physical sciences #Photochemistry and Electron Transfer Studies #Spectroscopy and Laser Applications #Spectroscopy and Quantum Chemical Studies #Statistical Mechanics (cond-mat.stat-mech)
6. Universal energy-speed-accuracy trade-offs in driven nonequilibrium systems
   2024/02/27 by Jérémie Klinger, Grant M. Rotskoff, Klinger, Jérémie +1 · 3 citations
   Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics
7. Features are fate: a theory of transfer learning in high-dimensional regression
   2024/10/10 by Javan Tahir, Tahir, Javan, Surya Ganguli +3 · 2 citations
   Computer Science · #Neural Networks and Applications
8. Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and Generalization
   2020/08/11 by Grant M. Rotskoff, Andrew Mitchell, Rotskoff, Grant M. +3 · 1 citation
   Computer Science · Engineering · #Machine Learning and Algorithms #Fault Detection and Control Systems #Adversarial Robustness in Machine Learning