Elena Orlova

3 papers · 2020–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

EMNLP (1) ICML (1) NeurIPS (1)

Top co-authors

Ruoxi Jiang (2) Peter Y. Lu (2) Rebecca Willett (2) Oleksii Hrinchuk (1) Leyla Mirvakhabova (1) Ivan Oseledets (1) Valentin Khrulkov (1) Aleksei Ustimenko (1)

Research topics

Deep Learning (2) Machine Learning (2) Artificial Intelligence (1) Mathematics & Optimization (1) Application Areas (1) Architectures (1) Core AI (1) Learning Types (1) Models (1) Optimization (1) Optimization & Theory · Deep Learning (1) Optimization & Theory · Machine Learning (1) Techniques (1)

Keywords

model compression (1) contrastive learning (1) natural language processing (1) optimal transport (1) tensor decomposition (1) parameter efficient (1) chaotic dynamics (1) dynamical system (1) schrödinger equation (1) generative diffusion model (1) neural operator (1) tensor train decomposition (1) invariant measure (1) embedding layer (1) latent low-dimensional structure (1) markovian diffusion (1) quadratic computational complexity (1) stochastic mechanics (1)

Papers

Deep Stochastic Mechanics ICML 2024 Training neural operators to preserve invariant measures of chaotic attractors NeurIPS 2023 Tensorized Embedding Layers EMNLP 2020