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Jiawei Yan, Hugo Touchette, Grant M. Rotskoff (2022). Learning Nonequilibrium Control Forces to Characterize Dynamical Phase Transitions. Phys. Rev. E.

Shriram Chennakesavalu, Grant M. Rotskoff (2021). Cooperative multi-agent reinforcement learning for high-dimensional nonequilibrium control. Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021).

Shriram Chennakesavalu, Grant M. Rotskoff (2021). Probing the Theoretical and Computational Limits of Dissipative Design. J. Chem. Phys.

Marylou Gabrié, Grant M. Rotskoff, Eric Vanden-Eijnden (2021). Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods. ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models.

Marylou Gabrié, Grant M. Rotskoff, Eric Vanden-Eijnden (2021). Adaptive Monte Carlo Augmented with Normalizing Flows. Proc. Natl. Acad. Sci. U.S.A..

Zhengdao Chen, Grant M. Rotskoff, Joan Bruna, Eric Vanden-Eijnden (2020). A Dynamical Central Limit Theorem for Shallow Neural Networks. NeurIPS 2020, arXiv:2008.09623.

Grant M. Rotskoff, Eric Vanden-Eijnden (2020). Learning with rare data: Using active importance sampling to optimize objectives dominated by rare events. arXiv:2008.06334.

Grant M. Rotskoff, Andrew R. Mitchell, Eric Vanden-Eijnden (2020). Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and Generalization. Mathematical and Scientific Machine Learning.

Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch, Grant Rotskoff, Joan Bruna (2020). A Mean-Field Analysis of Two-Player Zero-Sum Games. NeurIPS 2020, arXiv:2002.06277.

Grant M. Rotskoff, Eric Vanden-Eijnden (2019). Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach. Accepted at Comm Pure Appl Math, arXiv:1805.00915.

Grant M. Rotskoff, Eric Vanden-Eijnden (2019). Dynamical Computation of the Density of States and Bayes Factors Using Nonequilibrium Importance Sampling. Phys. Rev. Lett..

Grant Rotskoff, Samy Jelassi, Joan Bruna, Eric Vanden-Eijnden (2019). Global Convergence of Neuron Birth-Death Dynamics. arXiv:1902.01843.

arXiv

Grant M Rotskoff, Samy Jelassi, Joan Bruna, Eric Vanden-Eijnden (2019). Global Convergence of Neuron Birth-Death Dynamics. Proceedings of the 36th International Conference on International Conference on Machine Learning.

Matthew R. Hauwiller, Layne B. Frechette, Matthew R. Jones, Justin C. Ondry, Grant M. Rotskoff, Phillip Geissler, A. Paul Alivisatos (2018). Unraveling Kinetically-Driven Mechanisms of Gold Nanocrystal Shape Transformations Using Graphene Liquid Cell Electron Microscopy. Nano Lett..

Grant M Rotskoff, Phillip L Geissler (2018). Robust Nonequilibrium Pathways to Microcompartment Assembly. Proc. Natl. Acad. Sci. U.S.A..

Grant Rotskoff, Eric Vanden-Eijnden (2018). Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks. Advances in Neural Information Processing Systems 31.

Grant Murray Rotskoff (2017). The Statistical Dynamics of Nonequilibrium Control.

Todd R Gingrich, Grant M Rotskoff, Jordan M Horowitz (2017). Inferring Dissipation from Current Fluctuations. J Phys Math Theor.

Grant M Rotskoff (2017). Mapping Current Fluctuations of Stochastic Pumps to Nonequilibrium Steady States.. Phys Rev E.

Gabriele Cesare Sosso, Sebastiano Caravati, Grant Rotskoff, Suriyanarayan Vaikuntanathan, Ali Hassanali (2017). On the Role of Nonspherical Cavities in Short Length-Scale Density Fluctuations in Water. J Phys Chem A.

Grant M Rotskoff, Gavin E Crooks, Eric Vanden-Eijnden (2017). Geometric Approach to Optimal Nonequilibrium Control: Minimizing Dissipation in Nanomagnetic Spin Systems.. Phys Rev E.

Xingchen Ye, Matthew R Jones, Layne B Frechette, Qian Chen, Alexander S Powers, Peter Ercius, Gabriel Dunn, Grant M Rotskoff, Son C Nguyen, Vivekananda P Adiga, Alex Zettl, Eran Rabani, Phillip L Geissler, A Paul Alivisatos (2016). Single-Particle Mapping of Nonequilibrium Nanocrystal Transformations. Science.

Todd R Gingrich, Grant M Rotskoff, Gavin E Crooks, Phillip L Geissler (2016). Near-Optimal Protocols in Complex Nonequilibrium Transformations.. Proc Natl Acad Sci USA.

Suriyanarayanan Vaikuntanathan, Grant Rotskoff, Alexander Hudson, Phillip L Geissler (2016). Necessity of Capillary Modes in a Minimal Model of Nanoscale Hydrophobic Solvation.. Proc Natl Acad Sci USA.

Grant M Rotskoff, Gavin E Crooks (2015). Optimal Control in Nonequilibrium Systems: Dynamic Riemannian Geometry of the Ising Model. Phys Rev E (Rapid Communication).

Jonathan W Willett, Julien Herrou, Ariane Briegel, Grant Rotskoff, Sean Crosson (2015). Structural Asymmetry in a Conserved Signaling System That Regulates Division, Replication, and Virulence of an Intracellular Pathogen.. Proc Natl Acad Sci USA.

Sander Pronk, Iman Pouya, Magnus Lundborg, Grant Rotskoff, Björn Wesén, Peter M Kasson, Erik Lindahl (2015). Molecular Simulation Workflows as Parallel Algorithms: The Execution Engine of Copernicus, a Distributed High-Performance Computing Platform.. J Chem Theory Comput.

James F Dama, Grant Rotskoff, Michele Parrinello, Gregory A Voth (2014). Transition-Tempered Metadynamics: Robust, Convergent Metadynamics via On-the-Fly Transition Barrier Estimation.. J Chem Theory Comput.

Todd R Gingrich, Grant M Rotskoff, Suriyanarayanan Vaikuntanathan, Phillip L Geissler (2014). Efficiency and Large Deviations in Time-Asymmetric Stochastic Heat Engines. New J Phys.

Julien Herrou, Grant Rotskoff, Yun Luo, Benoît Roux, Sean Crosson (2012). Structural Basis of a Protein Partner Switch That Regulates the General Stress Response of $α$-Proteobacteria.. Proc Natl Acad Sci USA.