Jonathan D. Cohen
10 papers · 2008–2025 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (17)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(3)
👑
Triple Crown
💎
Century Club
(10)
📈
Trend Setter
❓
The Questioner
Conferences
NIPS (7)
ICML (2)
ICLR (1)
Top co-authors
Keywords
visual reasoning
(2)
reinforcement learning
(1)
bayesian inference
(1)
multi-task learning
(1)
network architecture
(1)
probabilistic modeling
(1)
temporal difference learning
(1)
change detection
(1)
cognitive modeling
(1)
decision making
(1)
graph theory
(1)
multimodal learning
(1)
representation learning
(1)
working memory
(1)
perceptual decision-making
(1)
parallel processing
(1)
bayesian framework
(1)
sequential effects
(1)
perceptual decision
(1)
neural network architecture
(1)
Papers
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
ICML 2025
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem
NIPS 2024
Slot Abstractors: Toward Scalable Abstract Visual Reasoning
ICML 2024
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
ICLR 2024
Systematic Visual Reasoning through Object-Centric Relational Abstraction
NIPS 2023
Using natural language and program abstractions to instill human inductive biases in machines
NIPS 2022
A graph-theoretic approach to multitasking
NIPS 2017
A Theory of Decision Making Under Dynamic Context
NIPS 2015
Sequential effects: Superstition or rational behavior?
NIPS 2008
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement
NIPS 2008