Ilya Tolstikhin
Publications by Year
Research Areas
Machine Learning and Algorithms, Generative Adversarial Networks and Image Synthesis, Machine Learning and Data Classification, Bayesian Modeling and Causal Inference, Statistical Methods and Inference
Most-Cited Works
- → MLP-Mixer: An all-MLP Architecture for Vision(2021)1,444 cited
- Wasserstein Auto-Encoders(2018)
- → AdaGAN: Boosting Generative Models(2017)146 cited
- → From optimal transport to generative modeling: the VEGAN cookbook(2017)99 cited
- Minimax estimation of maximum mean discrepancy with radial kernels(2016)
- → Towards a Learning Theory of Cause-Effect Inference(2015)43 cited
- PAC-Bayes-empirical-Bernstein inequality(2013)
- → Predicting Neural Network Accuracy from Weights(2020)38 cited
- → What Do Neural Networks Learn When Trained With Random Labels?(2020)29 cited