Kevin Ellis
25 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (13)
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Hot Topic Early Bird
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Conference Polyglot
(7)
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Academic Marathon
(10)
π§¬
Topic Evolution
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Grand Slam
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Keyword Champion
(2)
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Unstoppable
(6)
β‘
Prolific Year
(5)
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Century Club
(25)
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The Questioner
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Trend Setter
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Keyword Collector
(89)
Conferences
NIPS (13)
ICLR (5)
ICML (2)
IJCAI (2)
AAAI (1)
CORL (1)
CVPR (1)
Top co-authors
Keywords
program synthesis
(9)
code generation
(3)
input-output example
(2)
programming by example
(2)
large language model
(2)
few-shot learning
(2)
neural program synthesis
(2)
bayesian inference
(2)
robotic manipulation
(1)
probabilistic modeling
(1)
sample efficiency
(1)
exploration-exploitation tradeoff
(1)
joint learning
(1)
posterior sampling
(1)
depth perception
(1)
posterior distribution
(1)
domain randomization
(1)
motor adaptation
(1)
out-of-distribution generalization
(1)
deep learning
(1)
Papers
Combining Induction and Transduction for Abstract Reasoning
ICLR 2025
Position: Future Research and Challenges Remain Towards AI for Software Engineering
ICML 2025
LLM-Guided Probabilistic Program Induction for POMDP Model Estimation
CORL 2025
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning
ICLR 2025
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
NIPS 2024
Rapid Motor Adaptation for Robotic Manipulator Arms
CVPR 2024
Is Programming by Example Solved by LLMs?
NIPS 2024
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning
NIPS 2024
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff
NIPS 2024
From Perception to Programs: Regularize, Overparameterize, and Amortize
ICML 2023
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language
NIPS 2023
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
NIPS 2023
Making Sense of Raw Input (Extended Abstract)
IJCAI 2022
Scaling Neural Program Synthesis with Distribution-Based Search
AAAI 2022
CrossBeam: Learning to Search in Bottom-Up Program Synthesis
ICLR 2022
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface
ICLR 2022
Program Synthesis with Pragmatic Communication
NIPS 2020
Learning abstract structure for drawing by efficient motor program induction
NIPS 2020
Learning to Infer and Execute 3D Shape Programs
ICLR 2019
Write, Execute, Assess: Program Synthesis with a REPL
NIPS 2019
Learning Libraries of Subroutines for NeurallyβGuided Bayesian Program Induction
NIPS 2018
Learning to Infer Graphics Programs from Hand-Drawn Images
NIPS 2018
Learning to Learn Programs from Examples: Going Beyond Program Structure
IJCAI 2017
Sampling for Bayesian Program Learning
NIPS 2016
Unsupervised Learning by Program Synthesis
NIPS 2015