Publications
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Preprints
Evaluation of Large Language Models via Coupled Token Generation (Full paper)
Nina Corvelo Benz, Stratis Tsirtis, Eleni Straitouri, Ivi Chatzi, Ander Artola Velasco, Suhas Thejaswi, Manuel Gomez-Rodriguez
[ArXiv] [Code]Diversity-aware clustering: computational complexity and approximation algorithms (Full paper)
Suhas Thejaswi, Ameet Gadekar, Bruno Ordozgoiti, Aristides Gionis
[Arxiv]
2025
Fair clustering for data summarization: Improved approximation algorithms and complexity insights* (Full paper)
The Web Conference, Research Track (WWW 2025)
Ameet Gadekar, Aristides Gionis, Suhas Thejaswi
[Arxiv] [Code]Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes (Full paper)
Seung Eon Lee, Nina Corvelo Benz, Suhas Thejaswi, Manuel Gomez Rodriguez
Causal Learning and Reasoning (CLeaR 2025)
[ArXiv] [Code]
2024
Controlling counterfactual harm in decision support systems based on prediction sets (Full paper)
Eleni Straitouri, Suhas Thejaswi, Manuel Gomez-Rodriguez
Advances in Neural Information Processing Systems (NeurIPS 2024)
[ArXiv] [Code]Prediction powered ranking of large language models (Full paper)
Evi Chatzi, Eleni Straitouri, Suhas Thejaswi, Manuel Gomez-Rodriguez
Advances in Neural Information Processing Systems (NeurIPS 2024)
[ArXiv] [Code]Towards human-AI complementarity with predictions sets (Full paper)
Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Gomez-Rodriguez
Advances in Neural Information Processing Systems (NeurIPS 2024)
[ArXiv] [Code]Matchings, Predictions and Counterfactual Harm in Refugee Resettlement Processes (Workshop paper, oral presentation)
Seung Eon Lee, Nina Corvelo Benz, Suhas Thejaswi, Manuel Gomez Rodriguez
In Ethical Artificial Intelligence: Methods and Applications workshop @ KDD 2024
[ArXiv] [Code]Controlling counterfactual harm in decision support systems based on prediction sets (Workshop paper)
Eleni Straitouri, Suhas Thejaswi, Manuel Gomez-Rodriguez
In Humans, Algorithmic Decision-Making and Society workshop @ ICML 2024
[ArXiv] [Code]Fair column subset selection (Full paper, oral presentation)
Antonios Matakos, Bruno Ordozgoiti, Suhas Thejaswi
In Knowledge Discovery and Data Mining (KDD), 2024
[ArXiv] [Paper] [Code]Prediction powered ranking of large language models (Workshop paper)
Ivi Chatzi, Eleni Straitouri, Suhas Thejaswi, Manuel Gomez-Rodriguez
In HEAL workshop @ Human Factors in Computing Systems (CHI), 2024
[ArXiv] [Paper] [Code] [Poster]
2022
Scalable algorithm designs for mining massive datasets
Suhas Thejaswi
PhD Thesis, 2022
[Thesis] [Slides]Clustering with fair-center representation: parameterized approximation algorithms and heuristics (Full paper, oral presentation)
Suhas Thejaswi, Ameet Gadekar, Bruno Ordozgoiti, Michal Osadnik
In Knowledge Discovery and Data Mining (KDD), 2022
[ArXiv] [Paper] [Code] [Slides] [Poster]
Related blogpost - featured in Kudos research showcase
2021
- Diversity-aware k-median: clustering with fair-center representation (Full paper, oral presentation)
Suhas Thejaswi, Bruno Ordozgoiti, Aristides Gionis
In Machine Learning and Knowledge Discovery in Databases-Research Track (ECML PKDD), 2021
[ArXiv] [Paper] [Code] [Slides]
2020
Restless reachability problems in temporal graphs
Suhas Thejaswi, Juho Lauri, Aristides Gionis
[ArXiv] [code] [Slides] [Video]Finding path motifs in large temporal graphs using algebraic fingerprints (Full paper)
Suhas Thejaswi, Aristides Gionis, Juho Lauri
In BigData journal (special issue on best of SIAM data mining 2020)
[ArXiv] [Paper] [Code]Pattern detection in large temporal graphs using algebraic fingerprints (Full paper)
Suhas Thejaswi, Aristides Gionis
In SIAM International Conference on Data Mining, 2020
[Paper] [Code] [Slides]
Best paper candidate
Invited for a journal publication in best papers of SIAM data mining 2020
2018
- Engineering motif search for large motifs* (Full paper)
Petteri Kaski, Juho Lauri, Suhas Thejaswi
In Symposium of Experimental Algorithms (SEA), 2018
[Paper] [Code] [Slides]
2017
- Scalable parameterised algorithms for two Steiner problems
Suhas Thejaswi
Master’s Thesis, 2017
[Thesis] [Code] [Slides]
A talk on the process of writing master’s thesis @ Aalto University
*Authors in alphabetical order.