In Huh
4 papers · 2020–2025 · 2 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (9)
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Taxonomy Completionist
(13)
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Hot Topic Early Bird
Conferences
ICML (2)
NIPS (2)
Top co-authors
Keywords
neural network
(2)
neural network pruning
(1)
representation learning
(1)
sample efficiency
(1)
manifold learning
(1)
knowledge transfer
(1)
model pruning
(1)
riemannian geometry
(1)
dynamical system
(1)
neural ordinary differential equation
(1)
time-reversal symmetry
(1)
ordinary differential equation
(1)
physics simulation
(1)
physical dynamics
(1)
variational auto-encoder
(1)
inductive transfer learning
(1)
quotient space
(1)
isometric learning
(1)
weight allocation
(1)
time symmetry
(1)
Papers
Context-Informed Neural ODEs Unexpectedly Identify Broken Symmetries: Insights from the Poincaré–Hopf Theorem
ICML 2025
Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning
NIPS 2023
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
ICML 2022
Time-Reversal Symmetric ODE Network
NIPS 2020