Justin Wong

2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Justin Wong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Leonardo de Moura
2. Richard Evans

Papers from Justin Wong's perspective

Ordered by how strongly the researchers Justin Wong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Automatic differentiation in PyTorch
2. Deep Learning
3. Multilayer feedforward networks are universal approximators
4. Learning a SAT Solver from Single-Bit Supervision
5. Learning Explanatory Rules from Noisy Data
6. Z3: An Efficient SMT Solver
7. A short introduction to probabilistic soft logic
8. Verdi: a framework for implementing and formally verifying distributed systems (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
9. Axiomatic Basis for Computer Programming
10. Long Short-Term Memory

Their papers

• CLN2INV: Learning Loop Invariants with Continuous Logic Networks (2019) — 74 citations