Larisa Markeeva

19 papers A* 4Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
How Overconfidence in Initial Choices and Underconfidence Under Criticism Modulate Change of Mind in Large Language Models.
CoRR
Dharshan Kumaran, Stephen M. Fleming, Larisa Markeeva, Joe Heyward, Andrea Banino, Mrinal Mathur, Razvan Pascanu, Simon Osindero, Benedetto De Martino, Petar Velickovic, Viorica Patraucean
2024 J jnl
Amplifying human performance in combinatorial competitive programming.
CoRR
Petar Velickovic, Alex Vitvitskyi, Larisa Markeeva, Borja Ibarz, Lars Buesing, Matej Balog, Alexander Novikov
2024 J jnl
The CLRS-Text Algorithmic Reasoning Language Benchmark.
CoRR
Larisa Markeeva, Sean McLeish, Borja Ibarz, Wilfried Bounsi, Olga Kozlova, Alex Vitvitskyi, Charles Blundell, Tom Goldstein, Avi Schwarzschild, Petar Velickovic
2024 J jnl
Transformers meet Neural Algorithmic Reasoners.
CoRR
Wilfried Bounsi, Borja Ibarz, Andrew Dudzik, Jessica B. Hamrick, Larisa Markeeva, Alex Vitvitskyi, Razvan Pascanu, Petar Velickovic
2023 J jnl
Laser: Latent Set Representations for 3D Generative Modeling.
CoRR
Pol Moreno, Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Rosália G. Schneider, Björn Winckler, Larisa Markeeva, Théophane Weber, Danilo J. Rezende
2023 A* conf
Perception Test: A Diagnostic Benchmark for Multimodal Video Models.
NeurIPS
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
2023 J jnl
Perception Test: A Diagnostic Benchmark for Multimodal Video Models.
CoRR
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
2023 J jnl
TT-SDF2PC: Registration of Point Cloud and Compressed SDF Directly in the Memory-Efficient Tensor Train Domain.
CoRR
Alexey I. Boyko, Anastasiia Kornilova, Rahim Tariverdizadeh, Mirfarid Musavian Ghazani, Larisa Markeeva, Ivan V. Oseledets, Gonzalo Ferrer
2022 A* conf
Knowledge distillation: A good teacher is patient and consistent.
CVPR
Lucas Beyer, Xiaohua Zhai, Amélie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov
2022 A* conf
TAP-Vid: A Benchmark for Tracking Any Point in a Video.
NeurIPS
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang
2022 J jnl
TAP-Vid: A Benchmark for Tracking Any Point in a Video.
CoRR
Carl Doersch, Ankush Gupta, Larisa Markeeva, Adrià Recasens, Lucas Smaira, Yusuf Aytar, João Carreira, Andrew Zisserman, Yi Yang
2021 J jnl
A Generalized Lottery Ticket Hypothesis.
CoRR
Ibrahim M. Alabdulmohsin, Larisa Markeeva, Daniel Keysers, Ilya O. Tolstikhin
2021 J jnl
Knowledge distillation: A good teacher is patient and consistent.
CoRR
Lucas Beyer, Xiaohua Zhai, Amélie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov
2021 J jnl
QTT-isogeometric solver in two dimensions.
J. Comput. Phys.
Larisa Markeeva, I. Tsybulin, Ivan V. Oseledets
2020 J jnl
Interpolated Adjoint Method for Neural ODEs.
CoRR
Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets
2020 A* conf
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs.
NeurIPS
Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets
2020 J jnl
Towards Understanding Normalization in Neural ODEs.
CoRR
Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan V. Oseledets
2019 — conf
Automated Multi-Stage Compression of Neural Networks.
ICCV Workshops
Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Philip Blagoveschensky, Andrzej Cichocki, Ivan V. Oseledets
2019 J jnl
One time is not enough: iterative tensor decomposition for neural network compression.
CoRR
Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Ivan V. Oseledets, Andrzej Cichocki