Alexander Nikitin

According to our database, Alexander Nikitin authored at least 16 papers between 2003 and 2024.

Collaborative distances:

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

2024

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, Scott Mahan, Hansen Lillemark, Sharvaree P. 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

CoRR, 2024

Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities.

Alexander Nikitin, Jannik Kossen, Yarin Gal, Pekka Marttinen

CoRR, 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, 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

CoRR, 2024

2023

A Hybrid Model for Analysis of Laser Beam Distortions Using Monte Carlo and Shack-Hartmann Techniques: Numerical Study and Experimental Results.

Ilya Galaktionov, Julia Sheldakova, Alexander Nikitin, Vladimir Toporovsky, Alexis Kudryashov

Algorithms, July, 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, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane

Proceedings of the Topological, 2023

Thin and deep Gaussian processes.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Injection locking in self-oscillating magnetometers.

Alexander P. Nikitin, Nigel G. Stocks

IEEE Instrum. Meas. Mag., 2020

The Concept of Support for Laser-Based Additive Manufacturing on the Basis of Artificial Intelligence Methods.

Valeriya V. Gribova, Yuriy Kulchin, Alexander Nikitin, Vadim Timchenko

Proceedings of the Artificial Intelligence - 18th Russian Conference, 2020

On the issue of using digital radio communications of the DMR standard to control the train traffic on Russian railways.

Alexander Nikitin, Alexander Manakov, Igor Kushpil, Alexander Kostrominov, Alexander Osminin

Proceedings of the IEEE East-West Design & Test Symposium, 2020

2017

Diagnostics and monitoring of railway automation and remote control power supply devices.

Alexey Poroshin, Alexander Nikitin, Vitaly Shatokhin, Alexey Kotenko

Proceedings of the 2017 IEEE East-West Design & Test Symposium, 2017

Automatic locomotive signalization system modification with weight-based sum codes.

Dmitry Nikitin, Alexander Nikitin, Alexander Manakov, Pavel Popov, Alexey Kotenko

Proceedings of the 2017 IEEE East-West Design & Test Symposium, 2017

Recoverability of band-passed signals from non-zero threshold crossings.

Alexander P. Nikitin, Robert P. Morse, Nigel G. Stocks

Proceedings of the 3rd International Conference on Event-Based Control, 2017

2010

Phase Locking Below Rate Threshold in Noisy Model Neurons.

Jan A. Freund, Alexander Nikitin, Nigel G. Stocks

Neural Comput., 2010

2006

Automatic pathway building in biological association networks.

Anton Yuryev, Zufar Mulyukov, Ekaterina Kotelnikova, Sergei Maslov, Sergei Egorov, Alexander Nikitin, Nikolai Daraselia, Ilya Mazo

BMC Bioinform., 2006

2004

Extracting human protein interactions from MEDLINE using a full-sentence parser.

Nikolai Daraselia, Anton Yuryev, Sergei Egorov, Svetlana Novichkova, Alexander Nikitin, Ilya Mazo

Bioinform., 2004

2003

Pathway studio - the analysis and navigation of molecular networks.

Alexander Nikitin, Sergei Egorov, Nikolai Daraselia, Ilya Mazo

Bioinform., 2003