Pavel Izmailov

Publications by Year

Research Areas

Domain Adaptation and Few-Shot Learning, Adversarial Robustness in Machine Learning, Gaussian Processes and Bayesian Inference, Advanced Neural Network Applications, Machine Learning and Data Classification

Most-Cited Works

• Averaging Weights Leads to Wider Optima and Better Generalization(2018)
• → Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs(2018)212 cited
• → Bayesian Deep Learning and a Probabilistic Perspective of Generalization(2020)182 cited
• → A Simple Baseline for Bayesian Uncertainty in Deep Learning(2019)181 cited
• → There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average(2018)149 cited
• → FlexiViT: One Model for All Patch Sizes(2023)77 cited
• → Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data(2020)73 cited