sekhar tatikonda

6 papers · 2013–2022 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

JMLR (3) ICLR (2) ICML (1)

Top co-authors

Juntang Zhuang (3) Nicha C Dvornek (2) James s Duncan (2) Liangzhe Yuan (1) De Wen Soh (1) Xenophon Papademetris (1) Patrick Rebeschini (1) Yin Cui (1) Nicha Dvornek (1) Nicholas Ruozzi (1)

Research topics

Machine Learning (5) Optimization & Theory · Machine Learning (5) Deep Learning (3) Mathematics & Optimization (3) Mathematics (3) Architectures (1) Bayesian & Probabilistic (1) Core Methods (1) Models (1) Optimization (1) Optimization & Theory · Deep Learning (1) Statistics (1)

Keywords

adjoint method (2) gradient estimation (2) neural ordinary differential equation (2) sharpness-aware minimization (1) message passing (1) random walk (1) gradient descent (1) precision matrix (1) conditional independence (1) graph structure learning (1) gaussian graphical model (1) memory efficiency (1) markov property (1) flat minima (1) message passing algorithm (1) quadratic minimization (1) gaussian belief propagation (1) laplacian solver (1) electric flow (1) hitting time (1)

Papers

Surrogate Gap Minimization Improves Sharpness-Aware Training ICLR 2022 MALI: A memory efficient and reverse accurate integrator for Neural ODEs ICLR 2021 Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE ICML 2020 A New Approach to Laplacian Solvers and Flow Problems JMLR 2019 Learning Unfaithful K-separable Gaussian Graphical Models JMLR 2019 Message-Passing Algorithms for Quadratic Minimization JMLR 2013