| 2026 | AAAI | Generating Streamlining Constraints with Large Language Models (Abstract Reprint). | Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider |
| 2025 | CP | Balancing Latin Rectangles with LLM-Generated Streamliners. | Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider |
| 2025 | ICCS | Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach. | Carlos Anstegui, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider, Hai Xia |
| 2025 | ICSE | StreamLLM: Enhancing Constraint Programming with Large Language Model-Generated Streamliners. | Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider |
| 2024 | ICTAI | The Power of Collaboration: Learning Large Bayesian Networks at Scale. | Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider, Hai Xia |
| 2023 | CP | Proven Optimally-Balanced Latin Rectangles with SAT (Short Paper). | Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider |
| 2023 | UAI | On inference and learning with probabilistic generating circuits. | Juha Harviainen, Vaidyanathan Peruvemba Ramaswamy, Mikko Koivisto |
| 2022 | UAI | Learning large Bayesian networks with expert constraints. | Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider |
| 2021 | AAAI | Turbocharging Treewidth-Bounded Bayesian Network Structure Learning. | Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider |
| 2020 | CP | MaxSAT-Based Postprocessing for Treedepth. | Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider |