Evgeny Burnaev

55 papers · 2014–2025 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🏃 Academic Marathon (11) 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (12) 🗺️ Taxonomy Completionist (15) 🤝 Dynamic Duo (23) 👑 Triple Crown 🏆 Keyword Champion (2) 📈 Trend Setter ⚡ Prolific Year (12) 🔥 Unstoppable (9) ❓ The Questioner (3) 🗃️ Keyword Collector (184) 💎 Century Club (54)

Conferences

NIPS (15) ICLR (11) ICML (8) CVPR (6) ECCV (3) EMNLP (3) ACL (2) AISTATS (2) COLT (1) ICCV (1) IJCAI (1) INTERSPEECH (1) WACV (1)

Top co-authors

Alexander Korotin (23) Serguei Barannikov (12) Alexey Artemov (8) Denis Zorin (7) Nikita Gushchin (7) Eduard Tulchinskii (7) Daniil Selikhanovych (6) Petr Mokrov (6) Alexander Kolesov (6) Vage Egiazarian (6)

Keywords

optimal transport (9) topological data analysis (5) neural network (4) entropic optimal transport (3) generative model (3) multi-view reconstruction (3) schrodinger bridge (2) attention map (2) large language model (2) variational autoencoder (2) wasserstein distance (2) domain translation (2) diffusion model (2) generative adversarial network (2) feature extraction (2) surface reconstruction (2) model quantization (2) bayesian inference (2) model compression (2) schrödinger bridge (2)

Papers

Inverse Bridge Matching Distillation ICML 2025

Quantifying Logical Consistency in Transformers via Query-Key Alignment EMNLP 2025

AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM Agents IJCAI 2025

GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs ACL 2025

Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders ACL 2025

RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks AISTATS 2025

A3D: Does Diffusion Dream about 3D Alignment? ICLR 2025

Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects CVPR 2025

Scalar Function Topology Divergence: Comparing Topology of 3D Objects ECCV 2024

Light Schrödinger Bridge ICLR 2024

Light Unbalanced Optimal Transport NIPS 2024

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs NIPS 2024

Rethinking Optimal Transport in Offline Reinforcement Learning NIPS 2024

Adversarial Schrödinger Bridge Matching NIPS 2024

Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation ICML 2024

Energy-guided Entropic Neural Optimal Transport ICLR 2024

Estimating Barycenters of Distributions with Neural Optimal Transport ICML 2024

Light and Optimal Schrödinger Bridge Matching ICML 2024

Neural Optimal Transport with General Cost Functionals ICLR 2024

Disentanglement Learning via Topology ICML 2024

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark NIPS 2023

Extremal Domain Translation with Neural Optimal Transport NIPS 2023

Entropic Neural Optimal Transport via Diffusion Processes NIPS 2023

Neural Optimal Transport ICLR 2023

Topological Data Analysis for Speech Processing INTERSPEECH 2023

Sphere-Guided Training of Neural Implicit Surfaces CVPR 2023

Kernel Neural Optimal Transport ICLR 2023

Learning topology-preserving data representations ICLR 2023

Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction CVPR 2023

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts NIPS 2023

Wasserstein Iterative Networks for Barycenter Estimation NIPS 2022

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? NIPS 2022

NPBG++: Accelerating Neural Point-Based Graphics CVPR 2022

Acceptability Judgements via Examining the Topology of Attention Maps EMNLP 2022

Generative Modeling with Optimal Transport Maps ICLR 2022

Representation Topology Divergence: A Method for Comparing Neural Network Representations. ICML 2022

Making DensePose Fast and Light WACV 2021

Artificial Text Detection via Examining the Topology of Attention Maps EMNLP 2021

Towards Part-Based Understanding of RGB-D Scans CVPR 2021

Manifold Topology Divergence: a Framework for Comparing Data Manifolds. NIPS 2021

BooVAE: Boosting Approach for Continual Learning of VAE NIPS 2021

Large-Scale Wasserstein Gradient Flows NIPS 2021

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark NIPS 2021

Wasserstein-2 Generative Networks ICLR 2021

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization ICLR 2021

Bayesian Sparsification of Deep C-valued Networks ICML 2020

CAD-Deform: Deformable Fitting of CAD Models to 3D Scans ECCV 2020

Deep Vectorization of Technical Drawings ECCV 2020

Perceptual Deep Depth Super-Resolution ICCV 2019

Latent Convolutional Models ICLR 2019

ABC: A Big CAD Model Dataset for Geometric Deep Learning CVPR 2019

Anonymous Walk Embeddings ICML 2018

Quadrature-based features for kernel approximation NIPS 2018

Minimax Approach to Variable Fidelity Data Interpolation AISTATS 2017

Efficiency of conformalized ridge regression COLT 2014