Vetrov, Dmitry

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Maddox, W., Garipov, T., Izmailov, P., Vetrov, D., & Wilson, A. G. (2019) · arXiv

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 429

Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery

Polykovskiy, D., Zhebrak, A., Vetrov, D., Ivanenkov, Y., Aladinskiy, V., Mamoshina, P., Bozdaganyan, M., Aliper, A., Zhavoronkov, A., & Kadurin, A. (2018) · Molecular Pharmaceutics

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 278

Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

Garipov, T., Izmailov, P., Podoprikhin, D., Vetrov, D., & Wilson, A. G. (2018) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 252

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning

Ashukha, A., Lyzhov, A., Molchanov, D., & Vetrov, D. (2020) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 178

Uncertainty Estimation via Stochastic Batch Normalization

Atanov, A., Ashukha, A., Molchanov, D., Neklyudov, K., & Vetrov, D. (2019) · Lecture Notes in Computer Science

Gaussian Processes and Bayesian InferenceAdversarial Robustness in Machine Learning

Cited by 50

Variance Networks: When Expectation Does Not Meet Your Expectations

Neklyudov, K., Molchanov, D., Ashukha, A., & Vetrov, D. (2018) · arXiv

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 12

Towards Practical Credit Assignment for Deep Reinforcement Learning

Alipov, V., Simmons-Edler, R., Putintsev, N., Kalinin, P., & Vetrov, D. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 3