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Jason Jo
Publication Activity (10 Years)
Years Active: 2013-2021
Publications (10 Years): 9
Top Topics
Constraint Optimization
Search Tree
Wavelet Denoising
Neural Network
Top Venues
CoRR
CogSci
Constraints An Int. J.
ACL (student)
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Publications
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Giulia Zarpellon
,
Jason Jo
,
Andrea Lodi
,
Yoshua Bengio
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies.
AAAI
(2021)
Giulia Zarpellon
,
Jason Jo
,
Andrea Lodi
,
Yoshua Bengio
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies.
CoRR
(2020)
Jacob L. Russin
,
Jason Jo
,
Randall C. O'Reilly
,
Yoshua Bengio
Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics.
CogSci
(2020)
Jacob L. Russin
,
Jason Jo
,
Randall C. O'Reilly
,
Yoshua Bengio
Compositional Generalization by Factorizing Alignment and Translation.
ACL (student)
(2020)
Jake Russin
,
Jason Jo
,
Randall C. O'Reilly
,
Yoshua Bengio
Compositional generalization in a deep seq2seq model by separating syntax and semantics.
CoRR
(2019)
Matteo Fischetti
,
Jason Jo
Deep neural networks and mixed integer linear optimization.
Constraints An Int. J.
23 (3) (2018)
Jason Jo
,
Vikas Verma
,
Yoshua Bengio
Modularity Matters: Learning Invariant Relational Reasoning Tasks.
CoRR
(2018)
Jason Jo
,
Yoshua Bengio
Measuring the tendency of CNNs to Learn Surface Statistical Regularities.
CoRR
(2017)
Matteo Fischetti
,
Jason Jo
Deep Neural Networks as 0-1 Mixed Integer Linear Programs: A Feasibility Study.
CoRR
(2017)
Jason Jo
Iterative Hard Thresholding for Weighted Sparse Approximation.
CoRR
(2013)