sekhar tatikonda
6 papers · 2013–2022 · 3 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🏃 Academic Marathon (9) 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(14)
Conferences
JMLR (3)
ICLR (2)
ICML (1)
Top co-authors
Research topics
Keywords
image classification
(1)
convergence analysis
(1)
sample complexity
(1)
gradient estimation
(1)
message passing
(1)
random walk
(1)
precision matrix
(1)
conditional independence
(1)
graph structure learning
(1)
gaussian graphical model
(1)
neural ordinary differential equation
(1)
markov property
(1)
adjoint method
(1)
message passing algorithm
(1)
quadratic minimization
(1)
gaussian belief propagation
(1)
laplacian solver
(1)
electric flow
(1)
hitting time
(1)
graph cover
(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