Engineering Motif Search for Large Motifs. - Petteri Kaski; Juho Lauri; Suhas Thejaswi (SEA, 2018)

Pattern detection in large temporal graphs using algebraic fingerprints. - Suhas Thejaswi; Aristides Gionis (SDM, 2020)

Finding Path Motifs in Large Temporal Graphs Using Algebraic Fingerprints. - Suhas Thejaswi; Aristides Gionis; Juho Lauri (Big Data, 2020)

Finding temporal patterns using algebraic fingerprints. - Suhas Thejaswi; Aristides Gionis (CoRR, 2020)

Restless reachability in temporal graphs. - Suhas Thejaswi; Aristides Gionis (CoRR, 2020)

Diversity-Aware k-median: Clustering with Fair Center Representation. - Suhas Thejaswi; Bruno Ordozgoiti; Aristides Gionis (ECML/PKDD (2), 2021)

Approximation algorithms for k-median with lower-bound constraints. - Ameet Gadekar; Bruno Ordozgoiti; Suhas Thejaswi (CoRR, 2021)

Clustering with Fair-Center Representation: Parameterized Approximation Algorithms and Heuristics. - Suhas Thejaswi; Ameet Gadekar; Bruno Ordozgoiti; Michal Osadnik (KDD, 2022)

Fair Column Subset Selection. - Antonis Matakos; Bruno Ordozgoiti; Suhas Thejaswi (KDD, 2024)

Prediction-Powered Ranking of Large Language Models. - Ivi Chatzi; Eleni Straitouri; Suhas Thejaswi; Manuel Gomez Rodriguez (NeurIPS, 2024)

Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets. - Eleni Straitouri; Suhas Thejaswi; Manuel Gomez Rodriguez (NeurIPS, 2024)

Towards Human-AI Complementarity with Prediction Sets. - Giovanni De Toni; Nastaran Okati; Suhas Thejaswi; Eleni Straitouri; Manuel Gomez Rodriguez (NeurIPS, 2024)

Diversity-aware clustering: Computational Complexity and Approximation Algorithms. - Suhas Thejaswi; Ameet Gadekar; Bruno Ordozgoiti; Aristides Gionis (CoRR, 2024)

Towards Human-AI Complementarity with Predictions Sets. - Giovanni De Toni; Nastaran Okati; Suhas Thejaswi; Eleni Straitouri; Manuel Gomez-Rodriguez (CoRR, 2024)

Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes. - Seungeon Lee 001; Nina L. Corvelo Benz; Suhas Thejaswi; Manuel Gomez-Rodriguez (CLeaR, 2025)

Fair Clustering for Data Summarization: Improved Approximation Algorithms and Complexity Insights. - Ameet Gadekar; Aristides Gionis; Suhas Thejaswi (WWW, 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, 2025)

Capacitated Fair-Range Clustering: Hardness and Approximation Algorithms. - Ameet Gadekar; Suhas Thejaswi (CoRR, 2025)

Restless reachability problems in temporal graphs. - Suhas Thejaswi; Juho Lauri; Aristides Gionis (Knowl. Inf. Syst., 2025)