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Larisa Markeeva
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2020 – today
- 2024
- [i11]Larisa Markeeva, Sean McLeish, Borja Ibarz, Wilfried Bounsi, Olga Kozlova, Alex Vitvitskyi, Charles Blundell, Tom Goldstein, Avi Schwarzschild, Petar Velickovic:
The CLRS-Text Algorithmic Reasoning Language Benchmark. CoRR abs/2406.04229 (2024) - [i10]Wilfried Bounsi, Borja Ibarz, Andrew Dudzik, Jessica B. Hamrick, Larisa Markeeva, Alex Vitvitskyi, Razvan Pascanu, Petar Velickovic:
Transformers meet Neural Algorithmic Reasoners. CoRR abs/2406.09308 (2024) - 2023
- [c5]Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. NeurIPS 2023 - [i9]Pol Moreno, Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Rosália G. Schneider, Björn Winckler, Larisa Markeeva, Théophane Weber, Danilo J. Rezende:
Laser: Latent Set Representations for 3D Generative Modeling. CoRR abs/2301.05747 (2023) - [i8]Alexey I. Boyko, Anastasiia Kornilova, Rahim Tariverdizadeh, Mirfarid Musavian Ghazani, Larisa Markeeva, Ivan V. Oseledets, Gonzalo Ferrer:
TT-SDF2PC: Registration of Point Cloud and Compressed SDF Directly in the Memory-Efficient Tensor Train Domain. CoRR abs/2304.05342 (2023) - [i7]Viorica Patraucean, Lucas Smaira, Ankush Gupta, Adrià Recasens Continente, Larisa Markeeva, Dylan Banarse, Skanda Koppula, Joseph Heyward, Mateusz Malinowski, Yi Yang, Carl Doersch, Tatiana Matejovicova, Yury Sulsky, Antoine Miech, Alexandre Fréchette, Hanna Klimczak, Raphael Koster, Junlin Zhang, Stephanie Winkler, Yusuf Aytar, Simon Osindero, Dima Damen, Andrew Zisserman, João Carreira:
Perception Test: A Diagnostic Benchmark for Multimodal Video Models. CoRR abs/2305.13786 (2023) - 2022
- [c4]Lucas Beyer, Xiaohua Zhai, Amélie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov:
Knowledge distillation: A good teacher is patient and consistent. CVPR 2022: 10915-10924 - [c3]Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang:
TAP-Vid: A Benchmark for Tracking Any Point in a Video. NeurIPS 2022 - [i6]Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang:
TAP-Vid: A Benchmark for Tracking Any Point in a Video. CoRR abs/2211.03726 (2022) - 2021
- [j1]Larisa Markeeva
, I. Tsybulin, Ivan V. Oseledets
QTT-isogeometric solver in two dimensions. J. Comput. Phys. 424: 109835 (2021) - [i5]Lucas Beyer, Xiaohua Zhai, Amélie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov:
Knowledge distillation: A good teacher is patient and consistent. CoRR abs/2106.05237 (2021) - [i4]Ibrahim M. Alabdulmohsin, Larisa Markeeva, Daniel Keysers, Ilya O. Tolstikhin:
A Generalized Lottery Ticket Hypothesis. CoRR abs/2107.06825 (2021) - 2020
- [c2]Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs. NeurIPS 2020 - [i3]Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolated Adjoint Method for Neural ODEs. CoRR abs/2003.05271 (2020) - [i2]Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan V. Oseledets:
Towards Understanding Normalization in Neural ODEs. CoRR abs/2004.09222 (2020)
2010 – 2019
- 2019
- [c1]Julia Gusak, Maksym Kholyavchenko
Automated Multi-Stage Compression of Neural Networks. ICCV Workshops 2019: 2501-2508 - [i1]Julia Gusak, Maksym Kholyavchenko
One time is not enough: iterative tensor decomposition for neural network compression. CoRR abs/1903.09973 (2019)
Coauthor Index
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last updated on 2024-07-10 21:29 CEST by the dblp team
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