Taco Cohen
19 papers · 2014–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(4)
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
β
The Questioner
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(101)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(12)
Deep Learning
(10)
Core AI Β· Artificial Intelligence
(10)
Architectures
(9)
Core Methods
(7)
Computer Vision
(6)
Optimization & Theory
(6)
Analysis
(4)
Models
(3)
Computer Science
(2)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Core AI Β· Computer Vision
(2)
Learning Paradigms
(2)
Keywords
causal discovery
(4)
geometric deep learning
(3)
code generation
(2)
causal representation learning
(2)
program synthesis
(2)
convolutional neural network
(2)
neural compression
(2)
graph neural network
(2)
bayesian inference
(1)
frame interpolation
(1)
manifold learning
(1)
medical imaging
(1)
sample complexity
(1)
reinforcement learning
(1)
temporal sequence
(1)
model adaptation
(1)
probabilistic modeling
(1)
interactive systems
(1)
embodied ai
(1)
probabilistic inference
(1)
Papers
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
ICML 2025
The KoLMogorov Test: Compression by Code Generation
ICLR 2025
What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
ICLR 2025
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
ICML 2024
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers
AISTATS 2024
BISCUIT: Causal Representation Learning from Binary Interactions
UAI 2023
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
ICLR 2023
On the Expressive Power of Geometric Graph Neural Networks
ICML 2023
CITRIS: Causal Identifiability from Temporal Intervened Sequences
ICML 2022
Efficient Neural Causal Discovery without Acyclicity Constraints
ICLR 2022
Transformer-based Transform Coding
ICLR 2022
Extending Neural P-Frame Codecs for B-Frame Coding
ICCV 2021
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
ICLR 2021
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
ICLR 2021
Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks
ICML 2020
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
ICML 2019
Group Equivariant Convolutional Networks
ICML 2016
Harmonic Exponential Families on Manifolds
ICML 2015
Learning the Irreducible Representations of Commutative Lie Groups
ICML 2014