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Alexander Nikitin 0002
Person information
- affiliation (PhD 2024): Aalto University, Department of Computer Science, Espoo, Finland
Other persons with the same name
- Alexander Nikitin — disambiguation page
- Alexander Nikitin 0001 (aka: Alexander P. Nikitin) — University of Warwick, Coventry, UK (and 1 more)
- Alexander Nikitin 0003
(aka: Alexander Ivanovich Nikitin) — Far Eastern Branch of the Russian Academy of Sciences (FEB-RAS), Institute of Automation and Control Processes (IACP), Vladivostok, Russia
- Alexander Nikitin 0004 — Ariadne Genomics Inc., Rockville, MD, USA
- Alexander Nikitin 0005 (aka: Alexander B. Nikitin) — St. Petersburg State Transport University, Department of Automation and Remote Control on Railways, St. Petersburg, Russia
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2020 – today
- 2025
- [j2]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, Manel Gil-Sorribes, Alexis Molina, Victor Guallar, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V. Nikitin, Giordan Escalona, Michael Banf, Dominik Filipiak, Liliya Imasheva, Max Schattauer, Alvaro L. Martinez, Halley Fritze, Marissa Masden, Valentina Sánchez, Manuel Lecha, Andrea Cavallo, Claudio Battiloro, Matthew Piekenbrock, Mauricio Tec, George Dasoulas, Nina Miolane, Simone Scardapane, Theodore Papamarkou:
TopoBench: A Framework for Benchmarking Topological Deep Learning. J. Data-centric Mach. Learn. Res. 2: (20):1-39 (2025) - [i10]Sergio Hernández-Gutiérrez, Minttu Alakuijala, Alexander V. Nikitin, Pekka Marttinen:
Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning. CoRR abs/2505.02576 (2025) - [i9]Anna Aksenova, Boris Zverkov, Nicola Dainese
MiniLingua: A Small Open-Source LLM for European Languages. CoRR abs/2512.13298 (2025) - 2024
- [b1]Alexander Nikitin:
Probabilistic Methods for Predictive Maintenance and Beyond: Graph and Human-in-the-Loop Machine Learning. Aalto University, Espoo, Finland, 2024 - [j1]Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane:
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. J. Mach. Learn. Res. 25: 374:1-374:8 (2024) - [c8]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, Scott Mahan, Hansen Lillemark, Sharvaree Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. GRaM 2024: 420-428 - [c7]Alexander Nikitin, Letizia Iannucci, Samuel Kaski:
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series. NeurIPS 2024 - [c6]Alexander Nikitin, Jannik Kossen, Yarin Gal, Pekka Marttinen:
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities. NeurIPS 2024 - [i8]Mustafa Hajij, Mathilde Papillon, Florian Frantzen
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR abs/2402.02441 (2024) - [i7]Alexander Nikitin, Jannik Kossen, Yarin Gal, Pekka Marttinen:
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities. CoRR abs/2405.20003 (2024) - [i6]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol-Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - 2023
- [c5]Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João Paulo Pordeus Gomes, Diego Mesquita, César Lincoln C. Mattos:
Thin and deep Gaussian processes. NeurIPS 2023 - [c4]Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 2023: 3-8 - [i5]Alexander Nikitin, Letizia Iannucci, Samuel Kaski:
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series. CoRR abs/2305.11567 (2023) - [i4]Daniel Augusto de Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A. Álvarez, Marc Peter Deisenroth, João P. P. Gomes, Diego Mesquita, César Lincoln C. Mattos:
Thin and Deep Gaussian Processes. CoRR abs/2310.11527 (2023) - 2022
- [c3]Alexander Nikitin, S. T. John, Arno Solin, Samuel Kaski:
Non-separable Spatio-temporal Graph Kernels via SPDEs. AISTATS 2022: 10640-10660 - [c2]Alexander Nikitin, Samuel Kaski:
Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations. KDD 2022: 3682-3690 - [i3]Alexander Nikitin, Samuel Kaski:
Human-in-the-Loop Large-Scale Predictive Maintenance of Workstations. CoRR abs/2206.11574 (2022) - 2021
- [c1]Alexander Nikitin, Samuel Kaski:
Decision Rule Elicitation for Domain Adaptation. IUI 2021: 244-248 - [i2]Alexander Nikitin, Samuel Kaski:
Decision Rule Elicitation for Domain Adaptation. CoRR abs/2102.11539 (2021) - [i1]Alexander Nikitin, S. T. John, Arno Solin, Samuel Kaski:
Non-separable Spatio-temporal Graph Kernels via SPDEs. CoRR abs/2111.08524 (2021)
Coauthor Index
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