Automated Multi-Stage Compression of Neural Networks. - Julia Gusak; Maksym Kholyavchenko; Evgeny Ponomarev; Larisa Markeeva; Philip Blagoveschensky; Andrzej Cichocki; Ivan V. Oseledets (ICCV Workshops, 2019)

One time is not enough: iterative tensor decomposition for neural network compression. - Julia Gusak; Maksym Kholyavchenko; Evgeny Ponomarev; Larisa Markeeva; Ivan V. Oseledets; Andrzej Cichocki (CoRR, 2019)

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs. - Talgat Daulbaev; Alexandr Katrutsa; Larisa Markeeva; Julia Gusak; Andrzej Cichocki; Ivan V. Oseledets (NeurIPS, 2020)

Interpolated Adjoint Method for Neural ODEs. - Talgat Daulbaev; Alexandr Katrutsa; Larisa Markeeva; Julia Gusak; Andrzej Cichocki; Ivan V. Oseledets (CoRR, 2020)

Towards Understanding Normalization in Neural ODEs. - Julia Gusak; Larisa Markeeva; Talgat Daulbaev; Alexandr Katrutsa; Andrzej Cichocki; Ivan V. Oseledets (CoRR, 2020)

A Generalized Lottery Ticket Hypothesis. - Ibrahim M. Alabdulmohsin; Larisa Markeeva; Daniel Keysers; Ilya O. Tolstikhin (CoRR, 2021)

QTT-isogeometric solver in two dimensions. - Larisa Markeeva; I. Tsybulin; Ivan V. Oseledets (J. Comput. Phys., 2021)

Knowledge distillation: A good teacher is patient and consistent. - Lucas Beyer; Xiaohua Zhai; Amélie Royer; Larisa Markeeva; Rohan Anil; Alexander Kolesnikov 003 (CVPR, 2022)

TAP-Vid: A Benchmark for Tracking Any Point in a Video. - Carl Doersch; Ankush Gupta 001; Larisa Markeeva; Adrià Recasens; Lucas Smaira; Yusuf Aytar; João Carreira 001; Andrew Zisserman; Yi Yang 007 (NeurIPS, 2022)

Perception Test: A Diagnostic Benchmark for Multimodal Video Models. - Viorica Patraucean; Lucas Smaira; Ankush Gupta 001; Adrià Recasens; Larisa Markeeva; Dylan Banarse; Skanda Koppula; Joseph Heyward; Mateusz Malinowski; Yi Yang 007; Carl Doersch; Tatiana Matejovicova; et al. (NeurIPS, 2023)

Laser: Latent Set Representations for 3D Generative Modeling. - Pol Moreno; Adam R. Kosiorek; Heiko Strathmann; Daniel Zoran; Rosália G. Schneider; Björn Winckler; Larisa Markeeva; Théophane Weber; Danilo J. Rezende (CoRR, 2023)

TT-SDF2PC: Registration of Point Cloud and Compressed SDF Directly in the Memory-Efficient Tensor Train Domain. - Alexey I. Boyko; Anastasiia Kornilova; Rahim Tariverdizadeh; Mirfarid Musavian Ghazani; Larisa Markeeva; Ivan V. Oseledets; Gonzalo Ferrer 001 (CoRR, 2023)

The CLRS-Text Algorithmic Reasoning Language Benchmark. - Larisa Markeeva; Sean McLeish; Borja Ibarz; Wilfried Bounsi; Olga Kozlova; Alex Vitvitskyi; Charles Blundell; Tom Goldstein; Avi Schwarzschild; Petar Velickovic (CoRR, 2024)

Transformers meet Neural Algorithmic Reasoners. - Wilfried Bounsi; Borja Ibarz; Andrew Dudzik; Jessica B. Hamrick; Larisa Markeeva; Alex Vitvitskyi; Razvan Pascanu; Petar Velickovic (CoRR, 2024)

Amplifying human performance in combinatorial competitive programming. - Petar Velickovic; Alex Vitvitskyi; Larisa Markeeva; Borja Ibarz; Lars Buesing; Matej Balog; Alexander Novikov 001 (CoRR, 2024)

How Overconfidence in Initial Choices and Underconfidence Under Criticism Modulate Change of Mind in Large Language Models. - Dharshan Kumaran; Stephen M. Fleming; Larisa Markeeva; Joe Heyward; Andrea Banino; Mrinal Mathur; Razvan Pascanu; Simon Osindero; Benedetto De Martino; Petar Velickovic; Viorica Patraucean (CoRR, 2025)