Publications
Our research contributions are regularly published in top-tier conferences in the field of computer science and engineering. Below is a select list of our recent publications, with the most recent work listed first.
All publications are available in accessible formats. If you need alternative formats or have difficulty accessing any materials, please contact us for assistance.
Publications
- Improving Last-Mile Coverage in Functional Verification
C Liu, P Parlapalli, DK Houngninou, M Quinn, A Tyagi, J Hu
ACM/IEEE International Symposium on Machine Learning for CAD, September 2025https://dl.acm.org/doi/abs/10.1109/ICSE-SEIP58684.2023.00037
- BugGen: A Self-Correcting Multi-Agent LLM Pipeline for Realistic RTL Bug Synthesis
S Jasper, M Luu, E Pan, A Tyagi, M Quinn, J Hu, DK Houngninou
ACM/IEEE International Symposium on Machine Learning for CAD, September - VCDiag: Classifying Erroneous Waveforms for Failure Triage Acceleration
M Luu, S Jasper, K Le, E Pan, M Quinn, A Tyagi, J Hu
ACM/IEEE International Symposium on Machine Learning for CAD, September 2025 - MinBLoG: Minimization of Boolean Logic Functions using Graph Attention Network
P. Sengupta, A Tyagi, J Hu, VK Rajan, H Mostafa, S Majumdar
ACM/IEEE International Symposium on Machine Learning for CAD, September 2024 - Quick Identification of Timing Critical Components in RTL Designs
P. Sengupta, A. Tyagi, Y. Chen, J. Hu
IEEE/ACM MLCAD Workshop, September 2023 - HyPFuzz: Formal-Assisted Processor Fuzzing
C. Chen, R. Kande, F. Andersen, A. Tyagi, A. Sadeghi, J. Rajendran
32nd USENIX Security Symposium, August 2023https://www.usenix.org/conference/usenixsecurity23/presentation/chen-chen
- How Good Is Your Verilog RTL Code? A Quick Answer from Machine Learning
P. Sengupta, A. Tyagi, Y. Chen, J. Hu
International Conference on Computer Aided Design, November 2022 - TheHuzz: Instruction Fuzzing of Processors using Golden Reference Models for finding Software-Exploitable Vulnerabilities
R. Kande, A. Crump, G. Persyn, P. Jauernig, A. Tyagi, A. Sadeghi, J.V. Rajendran
31st USENIX Security Symposium, August 2022https://www.usenix.org/conference/usenixsecurity22/presentation/kande
- Transaction level stimulus optimization in functional verification using machine learning predictors
S Gogri, A Tyagi, M Quinn, J Hu
23rd International Symposium on Quality Electronic Design (ISQED), September 2022 - Machine Learning-Guided Stimulus Generation for Functional Verification
S. Gogri, J. Ju, A. Tyagi, et al
DVCON’20, San Jose, CA, March 2020