160 citations · 834 across the 51 of their papers we have counts for
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cond-mat.stat-mech2018★ 15 cited
Dynamical computation of the density of states and Bayes factors using nonequilibrium importance sampling
Grant M. Rotskoff, Eric Vanden-Eijnden
Nonequilibrium sampling is potentially much more versatile than its equilibrium counterpart, but it comes with challenges because the invariant distribution is not typically known…
stat.ML2018★ 56 cited
Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach
Grant M. Rotskoff, Eric Vanden-Eijnden
Neural networks, a central tool in machine learning, have demonstrated remarkable, high fidelity performance on image recognition and classification tasks. These successes evince a…