Inar Timiryasov

According to our database, Inar Timiryasov authored at least 4 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Learning to detect continuous gravitational waves: an open data-analysis competition.

Rodrigo Tenorio, Michael J. Williams, J. Bayley, Chris Messenger, M. Demkin, W. Reade, J. Koda, Y. Yamakawa, T. Yamaguchi, K. Abe, C. Achard, H. S. T. Bukhari, M. V. Shugaev, G. Sokolov, H. Yoshihara, V. Debout, S. Goulet, Jean-Loup Tastet, Inar Timiryasov, Oleg Ruchayskiy, D. Kanonik, S. Seferbekov, S. Saito, R. Sato, S. Segawa, A Zhyvalkouski, Y. Uchida, S. Yokoi, A Sayed, R.-Q. Xing, I Yamashita, Z. Wang

Mach. Learn. Sci. Technol., 2025

2024

Results and Perspectives from the First Two Years of Neutrino Physics at the LHC by the SND@LHC Experiment.

Duccio Abbaneo, Shakeel Ahmad, Raffaele Albanese, Andrey Alexandrov, Fabio Alicante, Konstantin Androsov, Anna Anokhina, Takashi Asada, Chayanit Asawatangtrakuldee, Marco A. Ayala Torres, Carlo Battilana, Aurelio Bay, Alcide Bertocco, Christopher Betancourt, Daniel Bick, Riddhi Biswas, Alberto Blanco Castro, Vincenzo Boccia, Mariyan Bogomilov, Daniele Bonacorsi, Walter M. Bonivento, Paula Bordalo, Alexey Boyarsky, Salvatore Buontempo, Mario Campanelli, TizianoCamporesi, Vincenzo Canale, Andrea Castro, Daniele Centanni, Francesco Cerutti, Mikhail Chernyavskiy, Ki Young Choi, Serhii Cholak, Federico Cindolo, Matei Climescu, Andrew Conaboy, Gaetano Marco Dallavalle, Daniele Davino, Paul de Bryas, Giovanni De Lellis, Massimiliano de Magistris, Albert De Roeck, Alvaro De Rújula, Marilisa De Serio, Dario De Simone, Antonia Di Crescenzo, Donato Di Ferdinando, Roberto Donà, Onur Durhan, Fabrizio Fabbri, Filips Fedotovs, Martina Ferrillo, Massimiliano Ferro-Luzzi, Rosa Anna Fini, Antimo Fiorillo, Raffaele Fresa, Wolfgang Funk, Francisca M. Garay Walls, Artem Golovatiuk, Andrey Golutvin, Elena Graverini, Ali M. Guler, Vasilisa Guliaeva, Guido J. Haefeli, Caren Hagner, Juan C. Helo Herrera, Eric van Herwijnen, Paolo Iengo, Simona Ilieva, Angelo Infantino, Antonio Iuliano, Richard Jacobsson, Cagin Kamiscioglu, Anni M. Kauniskangas, Emil Khalikov, Sung Hyun Kim, Yeong Gyun Kim, Guennadii Klioutchnikov, Masahiro Komatsu, Nina Konovalova, Sergey Kuleshov, Lukasz Krzempek, Heiko M. Lacker, Oliver Lantwin, Federico Lasagni Manghi, Adele Lauria, Kang Young Lee, Kyong Sei Lee, Sergio Lo Meo, Vincenzo Paolo Loschiavo, Stefano Marcellini, Annarita Margiotta, Anna Mascellani, Filippo Mei, Andrea Miano, A. Mikulenko, Maria Cristina Montesi, Francesco Luigi Navarria, Waraporn Nuntiyakul, Satoru Ogawa, Natalia Okateva, Maksym Ovchynnikov, Giulia Paggi, Byungdo Park, Alessandra Pastore, Andrea Perrotta, Dmitriy Podgrudkov, Natalia Polukhina, Andrea Prota, Antonio Quercia, Sérgio Ramos, Anupama Reghunath, Tatiana Roganova, Federico Ronchetti, Tiziano Rovelli, Oleg Ruchayskiy, Thomas Ruf, Marta Sabate Gilarte, Zhakypbek Sadykov, Mikhail Samoilov, Valentino Scalera, Walter Schmidt-Parzefall, Olivier Schneider, Givi Sekhniaidze, Nicola Serra, Mikhail Shaposhnikov, Vladimir Shevchenko, Tatiana Shchedrina, Lesya Shchutska, Hiroshi Shibuya, Saverio Simone, Gian P. Siroli, Gabriele Sirri, Guilherme Soares, Jong Yoon Sohn, Orlando J. Soto Sandoval, Maurizio Spurio, Nikolai Starkov, Jan Steggemann, Inar Timiryasov, Valeri Tioukov, Francesco Tramontano, Carina Trippl, Eduard Ursov, Andrey Ustyuzhanin, Galina Vankova-Kirilova, Gerardo Vasquez, Vassil Verguilov, Nuno Viegas Guerreiro Leonardo, Cristovao Vilela, Ciro Visone, Rainer Wanke, Eda Yaman, Zhibin Yang, Ceren Yazici, Chun Sil Yoon, Ettore Zaffaroni, Jilberto Zamora-Saá

Symmetry, June, 2024

BabyLlama-2: Ensemble-Distilled Models Consistently Outperform Teachers With Limited Data.

Jean-Loup Tastet, Inar Timiryasov

CoRR, 2024

2023

Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penalty.

Inar Timiryasov, Jean-Loup Tastet

CoRR, 2023