N M Anoop Krishnan
7 papers · 2022–2025 · 4 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
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Deep Learning
(6)
Architectures
(6)
Machine Learning
(5)
Artificial Intelligence
(3)
Core AI
(3)
Learning Types
(3)
Optimization & Theory
(3)
Core Methods
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications · Reinforcement Learning
(1)
Applications · Natural Language Processing
(1)
Keywords
graph neural network
(6)
zero-shot generalization
(2)
inductive bia
(2)
named entity recognition
(1)
knowledge base
(1)
energy landscape
(1)
state space model
(1)
dynamical system
(1)
partial differential equation
(1)
neural ordinary differential equation
(1)
physics-informed learning
(1)
stochastic differential equation
(1)
neural operator
(1)
physics simulation
(1)
physical dynamics
(1)
materials science
(1)
structure discovery
(1)
momentum conservation
(1)
distant supervision
(1)
energy conservation
(1)
Papers
Latent Mamba Operator for Partial Differential Equations
ICML 2025
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics
ICLR 2024
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles
ACL 2023
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems
ICLR 2023
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes
ICML 2023
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network
NeurIPS 2022
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems
NeurIPS 2022