Dmitry P Vetrov

20 papers · 2015–2024 · 3 conferences · across top CS/AI conferences

Achievements

+7 more ↓

🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (6)

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (3) 🏃 Academic Marathon (9) 💎 Century Club (20) 📈 Trend Setter 🗃️ Keyword Collector (87) 🔥 Unstoppable (10)

Conferences

NIPS (17) AISTATS (2) ECCV (1)

Top co-authors

Ekaterina Lobacheva (4) Aibek Alanov (3) Maxim Kodryan (3) Dmitry Molchanov (2) Pavel Izmailov (2) Dmitrii Podoprikhin (2) Nikita Morozov (2) Timur Garipov (2) Denis Rakitin (2) Kirill Neklyudov (2)

Keywords

neural network (5) generative adversarial network (3) batch normalization (2) transfer learning (2) approximate inference (2) generative modeling (2) evidence lower bound (2) variational inference (2) model pruning (2) ensemble learning (2) model compression (2) model calibration (1) uncertainty quantification (1) matrix factorization (1) probabilistic modeling (1) domain adaptation (1) image generation (1) loss landscape (1) efficient computing (1) policy learning (1)

Papers

Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing ECCV 2024 Differentiable Rendering with Reparameterized Volume Sampling AISTATS 2024 Generative Flow Networks as Entropy-Regularized RL AISTATS 2024 Star-Shaped Denoising Diffusion Probabilistic Models NIPS 2023 Entropic Neural Optimal Transport via Diffusion Processes NIPS 2023 To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning NIPS 2023 HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks NIPS 2022 Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes NIPS 2022 Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces NIPS 2021 On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay NIPS 2021 On Power Laws in Deep Ensembles NIPS 2020 The Implicit Metropolis-Hastings Algorithm NIPS 2019 Importance Weighted Hierarchical Variational Inference NIPS 2019 A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models NIPS 2019 A Simple Baseline for Bayesian Uncertainty in Deep Learning NIPS 2019 Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs NIPS 2018 Structured Bayesian Pruning via Log-Normal Multiplicative Noise NIPS 2017 PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions NIPS 2016 M-Best-Diverse Labelings for Submodular Energies and Beyond NIPS 2015 Tensorizing Neural Networks NIPS 2015