Charles Sutton
35 papers · 2005–2024 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 46% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Charles Sutton?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Kensen Shi, Pengcheng Yin, Hanjun Dai
16 papers
· 2016–2024
· ICML, ICLR, NeurIPS
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ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
ICLR 2024
NExT: Teaching Large Language Models to Reason about Code Execution
ICML 2024
UQE: A Query Engine for Unstructured Databases
NeurIPS 2024
Any-scale Balanced Samplers for Discrete Space
ICLR 2023
Can Large Language Models Reason about Program Invariants?
ICML 2023
Natural Language to Code Generation in Interactive Data Science Notebooks
ACL 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
CrossBeam: Learning to Search in Bottom-Up Program Synthesis
ICLR 2022
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
ICLR 2021
Latent Programmer: Discrete Latent Codes for Program Synthesis
ICML 2021
SpreadsheetCoder: Formula Prediction from Semi-structured Context
ICML 2021
Global Relational Models of Source Code
ICLR 2020
Incremental Sampling Without Replacement for Sequence Models
ICML 2020
Learning to Represent Programs with Property Signatures
ICLR 2020
Learning Continuous Semantic Representations of Symbolic Expressions
ICML 2017
A Convolutional Attention Network for Extreme Summarization of Source Code
ICML 2016
5 papers whose co-authors appear nowhere else under this name
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data
AISTATS 2020
Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts
NAACL 2018
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
NeurIPS 2014
Multiple-source cross-validation
ICML 2013
Inference and Learning in Networks of Queues
AISTATS 2010