Arvind Ramanathan

3 papers · 2018–2024 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

AAAI (1) ACL (1) ICML (1)

Top co-authors

Minkai Xu (1) Aaron Lou (1) Jean Kossaifi (1) Shang Gao (1) Anima Anandkumar (1) Stefano Ermon (1) Kamyar Azizzadenesheli (1) Susmit Jha (1) Jure Leskovec (1) Alvaro Velasquez (1)

Research topics

Machine Learning (2) Artificial Intelligence (1) Data Science & Analytics (1) Deep Learning (1) Natural Language Processing (1) Applications (1) Architectures (1) Core AI (1) Core Methods (1) Methods (1) Optimization & Theory (1) Techniques (1)

Keywords

self-attention mechanism (1) text classification (1) deep learning (1) document classification (1) saliency map (1) convolutional neural network (1) stochastic differential equation (1) integrated gradient (1) hierarchical architecture (1) attribution method (1) se(3) equivariance (1) hierarchical attention (1) temporal evolution (1) neural network (1) 3d dynamics (1) fourier layer (1) convolutional attention network (1) graph neural operator (1) equivariant (1)

Papers

Equivariant Graph Neural Operator for Modeling 3D Dynamics ICML 2024 Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations AAAI 2022 Hierarchical Convolutional Attention Networks for Text Classification ACL 2018