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Video of ASE ’25 talk now available
A video of our ASE ’25 talk on “Speculative Automated Refactoring of Imperative Deep Learning Programs to Graph Execution” is now available!
Continue Reading →Paper on speculative refactoring of imperative Deep Learning programs to graph execution directly accepted to ASE ’25
Our paper entitled, “Speculative Automated Refactoring of Imperative Deep Learning Programs to Graph Execution” has been directly accepted to the research papers track at the 2025 IEEE/ACM International Conference on Automated Software Engineering (ASE)! Out of 1190 submissions, 113 were directly accepted, amounting to a 9.5% acceptance rate for directly accepted papers. The conference will take place later this year in Seoul, South Korea. Congratulations to Tatiana, Mehdi, Nan, and Anita!
Received EAPLS distinguished paper award at FASE ’25
Our upcoming International Conference on Fundamental Approaches to Software Engineering (FASE ’25) paper, entitled “Hybridize Functions: A Tool For Automatically Refactoring Imperative Deep Learning Programs to Graph Execution,” with Tatiana Castro Vélez, Mehdi Beherdezeh, Nan Jia, and Anita Raja, has been selected as an European Association for Programming Languages and Systems (EAPLS) distinguished paper!
Continue Reading →Tool demo paper on refactoring imperative DL programs to graph execution accepted at FASE ’25
Our paper entitled, “Hybridize functions: A tool for automatically refactoring imperative Deep Learning programs to graph execution,” has been accepted at the 2025 International Conference on Fundamental Approaches to Software Engineering (FASE) as a formal tool demonstration! Out of 31 papers (including 4 tool papers), 11 (including 1 tool paper) were accepted, amounting to a 35% acceptance rate. Congrats to Tatiana, Mehdi, Nan, and Anita!
Best paper award nomination at AISafety ’24
I am happy to announce that our paper entitled, “ReLESS: A framework for assessing safety in Deep Learning systems,” has been nominated for a best paper award at AI Safety ’24! Congrats to Nan and Anita. It’s Nan’s first workshop paper!
Paper on reliably refactoring Deep Learning systems accepted at AISafety ’24
Our paper on reliability refactoring Deep Learning systems has been accepted to the 2024 AISafety workshop at the International Joint Conference on Artificial Intelligence (IJCAI ’24). Congratulations to Nan and Anita!
