Decision Rule Elicitation for Domain Adaptation. - Alexander Nikitin 002; Samuel Kaski (IUI, 2021)

Non-separable Spatio-temporal Graph Kernels via SPDEs. - Alexander Nikitin 002; S. T. John; Arno Solin; Samuel Kaski (AISTATS, 2022)

Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations. - Alexander Nikitin 002; Samuel Kaski (KDD, 2022)

Thin and deep Gaussian processes. - Daniel Augusto de Souza; Alexander Nikitin 002; St John; Magnus Ross; Mauricio A. Álvarez; Marc Peter Deisenroth; João Paulo Pordeus Gomes; Diego Mesquita; César Lincoln C. Mattos (NeurIPS, 2023)

ICML 2023 Topological Deep Learning Challenge: Design and Results. - Mathilde Papillon; Mustafa Hajij; Audun Myers; Florian Frantzen; Ghada Zamzmi; Helen Jenne; Johan Mathe; Josef Hoppe; Michael T. Schaub; Theodore Papamarkou; Aldo Guzmán-Sáenz; Bastian Rieck; et al. (TAG-ML, 2023)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol-Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (GRaM, 2024)

TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series. - Alexander Nikitin 002; Letizia Iannucci; Samuel Kaski (NeurIPS, 2024)

Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities. - Alexander Nikitin 002; Jannik Kossen; Yarin Gal; Pekka Marttinen (NeurIPS, 2024)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. - Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Rubén Ballester; Claudio Battiloro; Guillermo Bernárdez; Tolga Birdal; Aiden Brent; Peter Chin 001; Sergio Escalera; et al. (J. Mach. Learn. Res., 2024)

Probabilistic Methods for Predictive Maintenance and Beyond: Graph and Human-in-the-Loop Machine Learning. - Alexander Nikitin 002 (2024)

TopoBench: A Framework for Benchmarking Topological Deep Learning. - Lev Telyatnikov; Guillermo Bernárdez; Marco Montagna; Mustafa Hajij; Martin Carrasco; Pavlo Vasylenko; Mathilde Papillon; Ghada Zamzmi; Michael T. Schaub; Jonas Verhellen; Pavel Snopov; Bertran Miquel-Oliver; et al. (J. Data-centric Mach. Learn. Res., 2025)

Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning. - Sergio Hernández-Gutiérrez; Minttu Alakuijala; Alexander V. Nikitin; Pekka Marttinen (CoRR, 2025)

MiniLingua: A Small Open-Source LLM for European Languages. - Anna Aksenova; Boris Zverkov; Nicola Dainese; Alexander Nikitin 002; Pekka Marttinen (CoRR, 2025)