Vaidyanathan Peruvemba Ramaswamy

13 papers A* 3A 5B 1Journal 2Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Generating Streamlining Constraints with Large Language Models (Abstract Reprint).
AAAI
Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
2025 A conf
Balancing Latin Rectangles with LLM-Generated Streamliners.
CP
Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
2025 J jnl
Generating Streamlining Constraints with Large Language Models.
J. Artif. Intell. Res.
Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
2025 — conf
StreamLLM: Enhancing Constraint Programming with Large Language Model-Generated Streamliners.
NSE@ICSE
Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
2025 — conf
Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach.
ICCS (2)
Carlos Ansótegui, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider, Hai Xia
2024 J jnl
Realtime Generation of Streamliners with Large Language Models.
CoRR
Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
2024 B conf
The Power of Collaboration: Learning Large Bayesian Networks at Scale.
ICTAI
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider, Hai Xia
2023 A conf
On inference and learning with probabilistic generating circuits.
UAI
Juha Harviainen, Vaidyanathan Peruvemba Ramaswamy, Mikko Koivisto
2023 A conf
Proven Optimally-Balanced Latin Rectangles with SAT (Short Paper).
CP
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
2022 A conf
Learning large Bayesian networks with expert constraints.
UAI
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
2021 A* conf
Learning Fast-Inference Bayesian Networks.
NeurIPS
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
2021 A* conf
Turbocharging Treewidth-Bounded Bayesian Network Structure Learning.
AAAI
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
2020 A conf
MaxSAT-Based Postprocessing for Treedepth.
CP
Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider