Jonathan D. Cohen
11 papers · 2008–2026 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Champion
π
Triple Crown
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(65)
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Core AI
(7)
Deep Learning
(4)
Interdisciplinary
(4)
Architectures
(4)
Cognitive Science
(4)
Core Methods
(4)
Learning Types
(3)
Optimization & Theory
(3)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Analysis
(1)
Keywords
visual reasoning
(3)
inductive bia
(2)
representation learning
(2)
bayesian inference
(2)
decision making
(2)
multi-task learning
(1)
temporal difference learning
(1)
reinforcement learning
(1)
feature extraction
(1)
sample efficiency
(1)
change detection
(1)
cognitive modeling
(1)
neuronal dynamics
(1)
probabilistic modeling
(1)
attention mechanism
(1)
graph theory
(1)
multimodal learning
(1)
network architecture
(1)
working memory
(1)
stochastic gradient descent
(1)
Papers
Understanding Task Representations in Neural Networks via Bayesian Ablation
CLeaR 2026
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
ICML 2025
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
ICLR 2024
Slot Abstractors: Toward Scalable Abstract Visual Reasoning
ICML 2024
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
NeurIPS 2024
Systematic Visual Reasoning through Object-Centric Relational Abstraction
NeurIPS 2023
Using natural language and program abstractions to instill human inductive biases in machines
NeurIPS 2022
A graph-theoretic approach to multitasking
NeurIPS 2017
A Theory of Decision Making Under Dynamic Context
NeurIPS 2015
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement
NeurIPS 2008
Sequential effects: Superstition or rational behavior?
NeurIPS 2008