3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.PL2026
Efficient Extraction for Effectful E-Graphs
Oliver Flatt, Anjali Pal, Yihong Zhang +7
Egraphs have enabled recent advances in program optimization, synthesis, and verification, yet remain difficult to apply to effectful programs whose memory and I/O operations must…
cs.PL2025★ 1 cited
Tuning Random Generators: Property-Based Testing as Probabilistic Programming
Ryan Tjoa, Poorva Garg, Harrison Goldstein +3
Property-based testing validates software against an executable specification by evaluating it on randomly generated inputs. The standard way that PBT users generate test inputs is…
cs.AI2023★ 3 cited
Scaling Integer Arithmetic in Probabilistic Programs
William X. Cao, Poorva Garg, Ryan Tjoa +3
Distributions on integers are ubiquitous in probabilistic modeling but remain challenging for many of today's probabilistic programming languages (PPLs). The core challenge comes f…