More from the Same Authors

• 2022 Poster: HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks »
  Aibek Alanov · Vadim Titov · Dmitry Vetrov
• 2022 Spotlight: Lightning Talks 3B-2 »
  Yu Huang · Tero Karras · Maxim Kodryan · Shiau Hong Lim · Shudong Huang · Ziyu Wang · Siqiao Xue · ILYAS MALIK · Ekaterina Lobacheva · Miika Aittala · Hongjie Wu · Yuhao Zhou · Yingbin Liang · Xiaoming Shi · Jun Zhu · Maksim Nakhodnov · Timo Aila · Yazhou Ren · James Zhang · Longbo Huang · Dmitry Vetrov · Ivor Tsang · Hongyuan Mei · Samuli Laine · Zenglin Xu · Wentao Feng · Jiancheng Lv
• 2022 Spotlight: HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks »
  Aibek Alanov · Vadim Titov · Dmitry Vetrov
• 2022 Spotlight: Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes »
  Maxim Kodryan · Ekaterina Lobacheva · Maksim Nakhodnov · Dmitry Vetrov
• 2022 Spotlight: Lightning Talks 3B-1 »
  Tianying Ji · Tongda Xu · Giulia Denevi · Aibek Alanov · Martin Wistuba · Wei Zhang · Yuesong Shen · Massimiliano Pontil · Vadim Titov · Yan Wang · Yu Luo · Daniel Cremers · Yanjun Han · Arlind Kadra · Dailan He · Josif Grabocka · Zhengyuan Zhou · Fuchun Sun · Carlo Ciliberto · Dmitry Vetrov · Mingxuan Jing · Chenjian Gao · Aaron Flores · Tsachy Weissman · Han Gao · Fengxiang He · Kunzan Liu · Wenbing Huang · Hongwei Qin
• 2022 Poster: Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes »
  Maxim Kodryan · Ekaterina Lobacheva · Maksim Nakhodnov · Dmitry Vetrov
• 2021 Poster: Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces »
  Kirill Struminsky · Artyom Gadetsky · Denis Rakitin · Danil Karpushkin · Dmitry Vetrov
• 2021 Poster: On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay »
  Ekaterina Lobacheva · Maxim Kodryan · Nadezhda Chirkova · Andrey Malinin · Dmitry Vetrov
• 2020 Poster: On Power Laws in Deep Ensembles »
  Ekaterina Lobacheva · Nadezhda Chirkova · Maxim Kodryan · Dmitry Vetrov
• 2020 Spotlight: On Power Laws in Deep Ensembles »
  Ekaterina Lobacheva · Nadezhda Chirkova · Maxim Kodryan · Dmitry Vetrov
• 2019 Poster: The Implicit Metropolis-Hastings Algorithm »
  Kirill Neklyudov · Evgenii Egorov · Dmitry Vetrov
• 2019 Poster: Importance Weighted Hierarchical Variational Inference »
  Artem Sobolev · Dmitry Vetrov
• 2019 Poster: A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models »
  Maxim Kuznetsov · Daniil Polykovskiy · Dmitry Vetrov · Alex Zhebrak
• 2019 Poster: A Simple Baseline for Bayesian Uncertainty in Deep Learning »
  Wesley Maddox · Pavel Izmailov · Timur Garipov · Dmitry Vetrov · Andrew Gordon Wilson
• 2018 Poster: Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs »
  Timur Garipov · Pavel Izmailov · Dmitrii Podoprikhin · Dmitry Vetrov · Andrew Wilson
• 2018 Spotlight: Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs »
  Timur Garipov · Pavel Izmailov · Dmitrii Podoprikhin · Dmitry Vetrov · Andrew Wilson
• 2017 Poster: Structured Bayesian Pruning via Log-Normal Multiplicative Noise »
  Kirill Neklyudov · Dmitry Molchanov · Arsenii Ashukha · Dmitry Vetrov
• 2016 Poster: PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions »
  Mikhail Figurnov · Aizhan Ibraimova · Dmitry Vetrov · Pushmeet Kohli
• 2015 Poster: M-Best-Diverse Labelings for Submodular Energies and Beyond »
  Alexander Kirillov · Dmytro Shlezinger · Dmitry Vetrov · Carsten Rother · Bogdan Savchynskyy
• 2015 Poster: Tensorizing Neural Networks »
  Alexander Novikov · Dmitrii Podoprikhin · Anton Osokin · Dmitry Vetrov