Kevin Ellis
25 papers · 2015–2025 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (49) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Grand Slam
🏆
Keyword Champion
(2)
🌈
Renaissance Researcher
(8)
🔥
Unstoppable · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
💎
Century Club · Bronze
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Trend Setter
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Keyword Collector
(126)
Top co-authors
Research topics
Artificial Intelligence
(19)
Machine Learning
(18)
Core AI
(15)
Learning Types
(8)
Bayesian & Probabilistic · Artificial Intelligence
(6)
Core Methods
(6)
Deep Learning
(5)
Computer Science
(4)
Learning Paradigms
(4)
Reinforcement Learning
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Applications
(2)
Keywords
program synthesis
(10)
code generation
(3)
few-shot learning
(3)
large language model
(3)
bayesian inference
(2)
input-output example
(2)
programming by example
(2)
world model
(2)
neural program synthesis
(2)
probabilistic modeling
(1)
scene understanding
(1)
structured prediction
(1)
depth perception
(1)
self-supervised learning
(1)
approximate inference
(1)
sample efficiency
(1)
deep learning
(1)
motor adaptation
(1)
posterior sampling
(1)
joint learning
(1)
Papers
Combining Induction and Transduction for Abstract Reasoning
ICLR 2025
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
CoRL 2025
Position: Future Research and Challenges Remain Towards AI for Software Engineering
ICML 2025
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
ICLR 2025
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
NeurIPS 2024
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
NeurIPS 2024
Is Programming by Example Solved by LLMs?
NeurIPS 2024
Rapid Motor Adaptation for Robotic Manipulator Arms
CVPR 2024
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
NeurIPS 2024
From Perception to Programs: Regularize, Overparameterize, and Amortize
ICML 2023
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
NeurIPS 2023
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
NeurIPS 2023
CrossBeam: Learning to Search in Bottom-Up Program Synthesis
ICLR 2022
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
ICLR 2022
Making Sense of Raw Input (Extended Abstract)
IJCAI 2022
Scaling Neural Program Synthesis with Distribution-Based Search
AAAI 2022
Learning abstract structure for drawing by efficient motor program induction
NeurIPS 2020
Program Synthesis with Pragmatic Communication
NeurIPS 2020
Learning to Infer and Execute 3D Shape Programs
ICLR 2019
Write, Execute, Assess: Program Synthesis with a REPL
NeurIPS 2019
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
NeurIPS 2018
Learning to Infer Graphics Programs from Hand-Drawn Images
NeurIPS 2018
Learning to Learn Programs from Examples: Going Beyond Program Structure
IJCAI 2017
Sampling for Bayesian Program Learning
NeurIPS 2016
Unsupervised Learning by Program Synthesis
NeurIPS 2015