Denis Kuznedelev

According to our database, Denis Kuznedelev authored at least 12 papers between 2022 and 2024.

Collaborative distances:

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

2024

Extreme Compression of Large Language Models via Additive Quantization.

Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh

CoRR, 2024

2023

Sparse Fine-tuning for Inference Acceleration of Large Language Models.

Eldar Kurtic, Denis Kuznedelev, Elias Frantar, Michael Goin, Dan Alistarh

CoRR, 2023

Accurate Neural Network Pruning Requires Rethinking Sparse Optimization.

Denis Kuznedelev, Eldar Kurtic, Eugenia Iofinova, Elias Frantar, Alexandra Peste, Dan Alistarh

CoRR, 2023

SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression.

Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, Dan Alistarh

CoRR, 2023

Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression.

Denis Kuznedelev, Soroush Tabesh, Kimia Noorbakhsh, Elias Frantar, Sara Beery, Eldar Kurtic, Dan Alistarh

CoRR, 2023

Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond.

Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova

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

CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models.

Denis Kuznedelev, Eldar Kurtic, Elias Frantar, Dan Alistarh

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

Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts.

Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova

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

A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.

Maksim Velikanov, Denis Kuznedelev, Dmitry Yarotsky

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A critical look at the evaluation of GNNs under heterophily: Are we really making progress?

Oleg Platonov, Denis Kuznedelev, Michael Diskin, Artem Babenko, Liudmila Prokhorenkova

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

oViT: An Accurate Second-Order Pruning Framework for Vision Transformers.

Denis Kuznedelev, Eldar Kurtic, Elias Frantar, Dan Alistarh

CoRR, 2022

Characterizing Graph Datasets for Node Classification: Beyond Homophily-Heterophily Dichotomy.

Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova

CoRR, 2022