Taco Cohen
19 papers · 2014–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (11)
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Interdisciplinary Bridge
π
Conference Polyglot
(5)
π
Academic Marathon
(11)
π
Keyword Trendsetter Combo
(4)
π§¬
Topic Evolution
π₯
Unstoppable
(7)
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Century Club
(19)
β
The Questioner
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Keyword Collector
(60)
Conferences
ICML (9)
ICLR (7)
AISTATS (1)
ICCV (1)
UAI (1)
Top co-authors
Keywords
geometric deep learning
(3)
causal discovery
(2)
convolutional neural network
(2)
semantic segmentation
(1)
bayesian inference
(1)
probabilistic inference
(1)
manifold learning
(1)
temporal sequence
(1)
frame interpolation
(1)
medical imaging
(1)
sample complexity
(1)
3d vision
(1)
embodied ai
(1)
gradient estimation
(1)
geometric algebra
(1)
probabilistic modeling
(1)
exponential family
(1)
variance reduction
(1)
weisfeiler-lehman test
(1)
image classification
(1)
Papers
What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
ICLR 2025
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
ICML 2025
The KoLMogorov Test: Compression by Code Generation
ICLR 2025
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers
AISTATS 2024
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
ICML 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
Transformer-based Transform Coding
ICLR 2022
CITRIS: Causal Identifiability from Temporal Intervened Sequences
ICML 2022
Efficient Neural Causal Discovery without Acyclicity Constraints
ICLR 2022
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
ICLR 2021
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
ICLR 2021
Extending Neural P-Frame Codecs for B-Frame Coding
ICCV 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