conftrace_

Alexander Korotin

27 papers · 2021–2025 · 3 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (6)
🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (28) 🏆 Keyword Champion (3) 👑 Triple Crown 🤝 Dynamic Duo (23) Prolific Year (5) 🗃️ Keyword Collector (65) 💎 Century Club (27) 🔥 Unstoppable (5) The Questioner (2)

Conferences

NIPS (13) ICLR (9) ICML (5)

Papers

Categorical Schrödinger Bridge Matching ICML 2025 Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport ICLR 2025 Inverse Bridge Matching Distillation ICML 2025 Field Matching: an Electrostatic Paradigm to Generate and Transfer Data ICML 2025 Energy-Guided Continuous Entropic Barycenter Estimation for General Costs NIPS 2024 Estimating Barycenters of Distributions with Neural Optimal Transport ICML 2024 Adversarial Schrödinger Bridge Matching NIPS 2024 Light Unbalanced Optimal Transport NIPS 2024 Optimal Flow Matching: Learning Straight Trajectories in Just One Step NIPS 2024 Light and Optimal Schrödinger Bridge Matching ICML 2024 Rethinking Optimal Transport in Offline Reinforcement Learning NIPS 2024 Neural Optimal Transport with General Cost Functionals ICLR 2024 Energy-guided Entropic Neural Optimal Transport ICLR 2024 Light Schrödinger Bridge ICLR 2024 Extremal Domain Translation with Neural Optimal Transport NIPS 2023 Entropic Neural Optimal Transport via Diffusion Processes NIPS 2023 Kernel Neural Optimal Transport ICLR 2023 Neural Optimal Transport ICLR 2023 Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark NIPS 2023 Wasserstein Iterative Networks for Barycenter Estimation NIPS 2022 Generative Modeling with Optimal Transport Maps ICLR 2022 Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? NIPS 2022 Wasserstein-2 Generative Networks ICLR 2021 Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark NIPS 2021 Large-Scale Wasserstein Gradient Flows NIPS 2021 Manifold Topology Divergence: a Framework for Comparing Data Manifolds. NIPS 2021 Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization ICLR 2021