Theoretical Foundation of Solvers: Context, Directions and Open Problems

Vijay Ganesh (University of Waterloo), Laurent Simon (Bordeaux INP), and David …
Theoretical Foundation of Solvers: Context, Directions and Open Problems

Vijay Ganesh (University of Waterloo), Laurent Simon (Bordeaux INP), and David …
Theoretical Foundation of Solvers: Context, Directions and Open Problems

Vijay Ganesh (University of Waterloo), Laurent Simon (Bordeaux INP), and David …
Structure of SAT Instances

Jordi Levy (Artificial Intelligence Research Institute, Spanish National Resear…
Structure of SAT Instances

Jordi Levy (Artificial Intelligence Research Institute, Spanish National Resear…
Structure of SAT Instances

Jordi Levy (Artificial Intelligence Research Institute, Spanish National Resear…
Theory of Encodings

Oliver Kullmann (Swansea University), Ciaran McCreesh (University of Glasgow), …
Theory of Encodings

Oliver Kullmann (Swansea University), Ciaran McCreesh (University of Glasgow), …
Theory of Encodings

Oliver Kullmann (Swansea University), Ciaran McCreesh (University of Glasgow), …
Proof Complexity Toolbox

Robert Robere (McGill University), Susanna de Rezende (Czech Academy of Science…
Proof Complexity Toolbox

Robert Robere (McGill University), Susanna de Rezende (Czech Academy of Science…
Proof Complexity Toolbox

Robert Robere (McGill University), Susanna de Rezende (Czech Academy of Science…
ML for Solvers
Predicting Satisfiability at the Phase Transition via End-to-End Learning

Kevin Leyton Brown (University of British Columbia)
Learning to Schedule Heuristics in Branch and Bound

Elias Khalil (University of Toronto)
Learning to Solve SMT Formulas

Mislav Balunović (ETH Zurich)
Preprocessing SAT, MaxSAT, and QBF

Benjamin Kiesl (SAP), Jeremias Berg (University of Helsinki), and Martina Seidl…
Preprocessing SAT, MaxSAT, and QBF

Benjamin Kiesl (SAP), Jeremias Berg (University of Helsinki), and Martina Seidl…
Preprocessing SAT, MaxSAT, and QBF

Benjamin Kiesl (SAP), Jeremias Berg (University of Helsinki), and Martina Seidl…
Logic + Machine Learning
Unifying Logical and Statistical AI with Markov Logic

Pedro Domingos (University of Washington)
Constrained Gradient Descent Algorithm for Testing Neural Networks

Vineel Nagisetty (University of Waterloo)