Tegan Emerson

3 papers · 2017–2022 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

NeurIPS (2) JMLR (1)

Top co-authors

Henry Kvinge (2) Patrick Shipman (1) Rachel Neville (1) Henry Adams (1) Tim Doster (1) Francis Motta (1) Michael Kirby (1) Lori Ziegelmeier (1) Grayson Jorgenson (1) Scott Vasquez (1)

Research topics

Machine Learning (3) Deep Learning (2) Architectures (2) Core Methods (2) Optimization & Theory · Deep Learning (2) Artificial Intelligence (1) Mathematics & Optimization (1) Core AI (1) Learning Types (1) Mathematics (1) Optimization & Theory · Machine Learning (1) Techniques (1)

Keywords

representation learning (1) network architecture (1) data augmentation (1) model architecture (1) model interpretability (1) persistent homology (1) support vector machine (1) hidden state (1) deep neural network (1) topological feature (1) relu network (1) persistence diagram (1) internal representation (1) vector representation (1) neural network (1) invariance metric (1) equivariance metric (1) pretrained weight (1) equivariant layer (1) neural network symmetry (1)

Papers

In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? NeurIPS 2022 On the Symmetries of Deep Learning Models and their Internal Representations NeurIPS 2022 Persistence Images: A Stable Vector Representation of Persistent Homology JMLR 2017