In Huh
4 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
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Deep Learning
(4)
Artificial Intelligence
(3)
Machine Learning
(3)
Architectures
(3)
Application Areas
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Mathematics & Optimization
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Optimization
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
neural network
(2)
neural ordinary differential equation
(2)
representation learning
(1)
sample efficiency
(1)
manifold learning
(1)
knowledge transfer
(1)
model pruning
(1)
riemannian geometry
(1)
dynamical system
(1)
time-reversal symmetry
(1)
variational autoencoder
(1)
ordinary differential equation
(1)
physics simulation
(1)
physical dynamics
(1)
symmetry breaking
(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
NeurIPS 2023
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
ICML 2022
Time-Reversal Symmetric ODE Network
NeurIPS 2020