Ashukha, Arsenii

1. Resolution-robust Large Mask Inpainting with Fourier Convolutions
   2021/09/15 by Roman Suvorov, Suvorov, Roman, Elizaveta Logacheva +17 · 120 citations
   Computer Science · Engineering · #Advanced Image Processing Techniques #Image Processing Techniques and Applications #Generative Adversarial Networks and Image Synthesis
2. Variational Dropout Sparsifies Deep Neural Networks
   2017/01/19 by Dmitry Molchanov, Molchanov, Dmitry, Arsenii Ashukha +3 · 81 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification
3. Greedy Policy Search: A Simple Baseline for Learnable Test-Time\n Augmentation
   2020/02/20 by Dmitry Molchanov, Molchanov, Dmitry, Alexander Lyzhov +7 · 8 citations
   Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
4. Structured Bayesian Pruning via Log-Normal Multiplicative Noise
   2017/05/20 by Kirill Neklyudov, Neklyudov, Kirill, Dmitry Molchanov +5 · 3 citations
   Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML)
5. Semi-Conditional Normalizing Flows for Semi-Supervised Learning
   2019/05/01 by Andrei Atanov, Alexandra Volokhova, Atanov, Andrei +7 · 5 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #Anomaly Detection Techniques and Applications
6. Variance Networks: When Expectation Does Not Meet Your Expectations
   2018/03/10 by Kirill Neklyudov, Dmitry Molchanov, Neklyudov, Kirill +5 · 2 citations
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (stat.ML) #Model Reduction and Neural Networks
7. Automating Control of Overestimation Bias for Reinforcement Learning
   2021/10/26 by Kuznetsov, Arsenii, Grishin, Alexander, Tsypin, Artem +3 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
8. Bayesian Incremental Learning for Deep Neural Networks
   2018/02/20 by Max Kochurov, Kochurov, Max, Timur Garipov +9 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Algorithms #Machine Learning and Data Classification