Derek Lim
16 papers · 2020–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Cross-Pollinator (7)
π
Academic Marathon
(6)
π
Conference Polyglot
(4)
π
Triple Crown
π
Grand Slam
ποΈ
Keyword Collector
(60)
π
Century Club
(15)
β‘
Prolific Year
(5)
π₯
Unstoppable
(5)
Conferences
NIPS (6)
ICLR (4)
ICML (4)
AAAI (1)
AISTATS (1)
Top co-authors
Research topics
Keywords
graph neural network
(5)
generative model
(2)
message passing
(2)
expressive power
(2)
model merging
(1)
group theory
(1)
spectral clustering
(1)
output distribution
(1)
attention mechanism
(1)
optimization landscape
(1)
lie group
(1)
node classification
(1)
neural ordinary differential equation
(1)
inductive bia
(1)
graph transformer
(1)
neural network optimization
(1)
density estimation
(1)
parameter symmetry
(1)
weight space
(1)
manifold learning
(1)
Papers
Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
AAAI 2026
Position: Future Directions in the Theory of Graph Machine Learning
ICML 2024
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
ICLR 2024
Graph Metanetworks for Processing Diverse Neural Architectures
ICLR 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
NIPS 2024
A Canonicalization Perspective on Invariant and Equivariant Learning
NIPS 2024
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
ICLR 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning
NIPS 2023
The Power of Recursion in Graph Neural Networks for Counting Substructures
AISTATS 2023
Graph Inductive Biases in Transformers without Message Passing
ICML 2023
Equivariant Polynomials for Graph Neural Networks
ICML 2023
Understanding Doubly Stochastic Clustering
ICML 2022
Equivariant Subgraph Aggregation Networks
ICLR 2022
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
NIPS 2021
Equivariant Manifold Flows
NIPS 2021
Neural Manifold Ordinary Differential Equations
NIPS 2020