Kevin Course

3 papers · 2020–2025 · 2 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

NeurIPS (2) ICML (1)

Top co-authors

Prasanth Nair (2) Prasanth B. Nair (1) Trefor Evans (1) Srinath Dama (1)

Research topics

Machine Learning (3) Deep Learning (2) Optimization & Theory (2) Data Science & Analytics (1) Mathematics & Optimization (1) Application Areas (1) Core Methods (1) Learning Types (1) Methods (1) Models (1) Optimization (1)

Keywords

variational inference (1) amortized inference (1) energy function (1) latent variable model (1) dynamical system (1) physics-informed learning (1) stochastic differential equation (1) ordinary differential equation (1) continuous-time model (1) super resolution (1) integral transform (1) neural network (1) hamiltonian system (1) forecasting (1) irregularly sampled observations (1) khatri-rao neural operators (1) time-shift operator (1)

Papers

Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators ICML 2025 Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs NeurIPS 2023 Weak Form Generalized Hamiltonian Learning NeurIPS 2020