Suhas Thejaswi

According to our database, Suhas Thejaswi authored at least 20 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Towards Human-AI Complementarity in Matching Tasks.

Adrián Arnaiz-Rodríguez, Nina Corvelo Benz, Suhas Thejaswi, Nuria Oliver, Manuel Gomez-Rodriguez

CoRR, August, 2025

Restless reachability problems in temporal graphs.

Suhas Thejaswi, Juho Lauri, Aristides Gionis

Knowl. Inf. Syst., July, 2025

Capacitated Fair-Range Clustering: Hardness and Approximation Algorithms.

Ameet Gadekar, Suhas Thejaswi

CoRR, May, 2025

Evaluation of Large Language Models via Coupled Token Generation.

Nina Corvelo Benz, Stratis Tsirtsis, Eleni Straitouri, Ivi Chatzi, Ander Artola Velasco, Suhas Thejaswi, Manuel Gomez-Rodriguez

CoRR, February, 2025

Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights.

Ameet Gadekar, Aristides Gionis, Suhas Thejaswi

Proceedings of the ACM on Web Conference 2025, 2025

Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes.

Seungeon Lee, Nina L. Corvelo Benz, Suhas Thejaswi, Manuel Gomez-Rodriguez

Proceedings of the Causal Learning and Reasoning, Lausanne, Switzerland, 7-9 May 2025., 2025

2024

Towards Human-AI Complementarity with Predictions Sets.

Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Gomez-Rodriguez

CoRR, 2024

Diversity-aware clustering: Computational Complexity and Approximation Algorithms.

Suhas Thejaswi, Ameet Gadekar, Bruno Ordozgoiti, Aristides Gionis

CoRR, 2024

Towards Human-AI Complementarity with Prediction Sets.

Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Gomez Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets.

Eleni Straitouri, Suhas Thejaswi, Manuel Gomez Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Prediction-Powered Ranking of Large Language Models.

Ivi Chatzi, Eleni Straitouri, Suhas Thejaswi, Manuel Gomez Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fair Column Subset Selection.

Antonis Matakos, Bruno Ordozgoiti, Suhas Thejaswi

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

Clustering with Fair-Center Representation: Parameterized Approximation Algorithms and Heuristics.

Suhas Thejaswi, Ameet Gadekar, Bruno Ordozgoiti, Michal Osadnik

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Approximation algorithms for k-median with lower-bound constraints.

Ameet Gadekar, Bruno Ordozgoiti, Suhas Thejaswi

CoRR, 2021

Diversity-Aware k-median: Clustering with Fair Center Representation.

Suhas Thejaswi, Bruno Ordozgoiti, Aristides Gionis

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Restless reachability in temporal graphs.

Suhas Thejaswi, Aristides Gionis

CoRR, 2020

Finding temporal patterns using algebraic fingerprints.

Suhas Thejaswi, Aristides Gionis

CoRR, 2020

Finding Path Motifs in Large Temporal Graphs Using Algebraic Fingerprints.

Suhas Thejaswi, Aristides Gionis, Juho Lauri

Big Data, 2020

Pattern detection in large temporal graphs using algebraic fingerprints.

Suhas Thejaswi, Aristides Gionis

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

2018

Engineering Motif Search for Large Motifs.

Petteri Kaski, Juho Lauri, Suhas Thejaswi

Proceedings of the 17th International Symposium on Experimental Algorithms, 2018