Grant M. Rotskoff
Orcid: 0000-0002-7772-5179
According to our database1,
Grant M. Rotskoff
authored at least 9 papers
between 2018 and 2024.
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2021
Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods.
CoRR, 2021
Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and Generalization.
Proceedings of the Mathematical and Scientific Machine Learning, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Neuron birth-death dynamics accelerates gradient descent and converges asymptotically.
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Neural Networks as Interacting Particle Systems: Asymptotic Convexity of the Loss Landscape and Universal Scaling of the Approximation Error.
CoRR, 2018
Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018