Andrea Bertozzi

4 papers · 2020–2022 · 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 🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer

Venues

NeurIPS (2) AAAI (1) ICLR (1)

Top co-authors

Stanley Osher (3) Bao Wang (3) Tan Nguyen (2) Hedi Xia (2) Stefano Soatto (1) Richard Baraniuk (1) Shay Deutsch (1) Hangjie Ji (1) Matthew Thorpe (1) Tan Minh Nguyen (1)

Research topics

Deep Learning (4) Machine Learning (4) Architectures (3) Learning Types · Machine Learning (3) Optimization & Theory · Machine Learning (2) Mathematics & Optimization (1) Core Methods (1) Learning Types · Deep Learning (1) Models (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

representation learning (1) zero-shot learning (1) manifold learning (1) transfer learning (1) label propagation (1) gradient descent (1) graph regularization (1) graph diffusion (1) long short-term memory (1) semantic embedding (1) sequential modeling (1) recurrent neural network (1) neural ordinary differential equation (1) convergence speed (1) node classification (1) momentum method (1) forward-backward propagation (1) vanishing gradient (1) momentum acceleration (1) long-term dependency (1)

Papers

GRAND++: Graph Neural Diffusion with A Source Term ICLR 2022 Heavy Ball Neural Ordinary Differential Equations NeurIPS 2021 MomentumRNN: Integrating Momentum into Recurrent Neural Networks NeurIPS 2020 Zero Shot Learning with the Isoperimetric Loss AAAI 2020