Daniel Selsam

According to our database, Daniel Selsam authored at least 13 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

k-Equivalence Relations and Associated Algorithms.

Daniel Selsam, Jesse Michael Han

CoRR, 2021

Automatically Building Diagrams for Olympiad Geometry Problems.

Ryan Krueger, Jesse Michael Han, Daniel Selsam

Proceedings of the Automated Deduction - CADE 28, 2021

2020

Sealing pointer-based optimizations behind pure functions.

Daniel Selsam, Simon Hudon, Leonardo de Moura

Proc. ACM Program. Lang., 2020

Universal Policies for Software-Defined MDPs.

Daniel Selsam, Jesse Michael Han, Leonardo de Moura, Patrice Godefroid

CoRR, 2020

Tabled Typeclass Resolution.

Daniel Selsam, Sebastian Ullrich, Leonardo de Moura

CoRR, 2020

2019

Neural networks and the satisfiability problem.

Daniel Selsam

PhD thesis, 2019

NeuroCore: Guiding High-Performance SAT Solvers with Unsat-Core Predictions.

Daniel Selsam, Nikolaj S. Bjørner

CoRR, 2019

Guiding High-Performance SAT Solvers with Unsat-Core Predictions.

Daniel Selsam, Nikolaj S. Bjørner

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2019, 2019

Learning a SAT Solver from Single-Bit Supervision.

Daniel Selsam, Matthew Lamm, Benedikt Bünz, Percy Liang, Leonardo de Moura, David L. Dill

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Developing Bug-Free Machine Learning Systems With Formal Mathematics.

Daniel Selsam, Percy Liang, David L. Dill

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Data Programming: Creating Large Training Sets, Quickly.

Alexander J. Ratner, Christopher De Sa, Sen Wu, Daniel Selsam, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Congruence Closure in Intensional Type Theory.

Daniel Selsam, Leonardo de Moura

Proceedings of the Automated Reasoning - 8th International Joint Conference, 2016

2014

Venture: a higher-order probabilistic programming platform with programmable inference.

Vikash Mansinghka, Daniel Selsam, Yura N. Perov

CoRR, 2014