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Kuznedelev, D. D.
19  Ergebnisse:
Personensuche X
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1

Influence of relativistic rotation on the confinement-decon..:

Braguta, V. V. ; Kotov, A. Yu. ; Kuznedelev, D. D..
Physical Review D.  103 (2021)  9 - p. , 2021
Link: https://doi.org/10.1103/..
 
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2

Lattice Study of QCD Properties under Extreme Conditions: T..:

Astrakhantsev, N. Yu. ; Braguta, V. V. ; Kolomoyets, N. V....
Physics of Particles and Nuclei.  52 (2021)  4 - p. 536-541 , 2021
Link: https://doi.org/10.1134/..
 
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3

Lattice study of QCD at finite chiral density: topology and..:

Astrakhantsev, Nikita ; Braguta, V. V. ; Kotov, A. Yu...
The European Physical Journal A.  57 (2021)  1 - p. , 2021
Link: https://doi.org/10.1140/..
 
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4

Study of the Confinement/Deconfinement Phase Transition in ..:

Braguta, V. V. ; Kotov, A. Yu. ; Kuznedelev, D. D..
JETP Letters.  112 (2020)  1 - p. 6-12 , 2020
Link: https://doi.org/10.1134/..
 
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5

Influence of relativistic rotation on the confinement-decon..:

Braguta, V. V ; Kotov, A. Yu ; Kuznedelev, D. D.
info:eu-repo/semantics/altIdentifier/issn/1550-7998.  , 2021
Link: https://juser.fz-juelich..
 
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6

Lattice study of the confinement/deconfinement transition i..:

Braguta, V. V ; Kotov, A. Yu ; Kuznedelev, D. D.
http://arxiv.org/abs/2110.12302.  , 2021
Link: http://arxiv.org/abs/211..
 
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7

Lattice study of QCD at finite chiral density: topology and..:

Astrakhantsev, Nikita ; Braguta, V. V ; Kotov, A. Yu..
info:eu-repo/semantics/altIdentifier/hdl/2128/29651.  , 2021
Link: https://juser.fz-juelich..
 
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8

Influence of relativistic rotation on the confinement/decon..:

Braguta, V. V ; Kotov, A. Yu ; Kuznedelev, D. D.
http://arxiv.org/abs/2102.05084.  , 2021
Link: http://arxiv.org/abs/210..
 
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9

Lattice study of QCD at finite chiral density: topology and..:

Astrakhantsev, N. Yu ; Braguta, V. V ; Kotov, A. Yu..
http://arxiv.org/abs/1902.09325.  , 2019
Link: http://arxiv.org/abs/190..
 
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10

Extreme Compression of Large Language Models via Additive Q..:

Egiazarian, Vage ; Panferov, Andrei ; Kuznedelev, Denis...
http://arxiv.org/abs/2401.06118.  , 2024
Link: http://arxiv.org/abs/240..
 
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11

SpQR: A Sparse-Quantized Representation for Near-Lossless L..:

Dettmers, Tim ; Svirschevski, Ruslan ; Egiazarian, Vage...
http://arxiv.org/abs/2306.03078.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

Sparse Fine-tuning for Inference Acceleration of Large Lang..:

Kurtic, Eldar ; Kuznedelev, Denis ; Frantar, Elias..
http://arxiv.org/abs/2310.06927.  , 2023
Link: http://arxiv.org/abs/231..
 
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13

Evaluating Robustness and Uncertainty of Graph Models Under..:

Bazhenov, Gleb ; Kuznedelev, Denis ; Malinin, Andrey..
http://arxiv.org/abs/2302.13875.  , 2023
Link: http://arxiv.org/abs/230..
 
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14

Vision Models Can Be Efficiently Specialized via Few-Shot T..:

Kuznedelev, Denis ; Tabesh, Soroush ; Noorbakhsh, Kimia...
http://arxiv.org/abs/2303.14409.  , 2023
Link: http://arxiv.org/abs/230..
 
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15

Accurate Neural Network Pruning Requires Rethinking Sparse ..:

Kuznedelev, Denis ; Kurtic, Eldar ; Iofinova, Eugenia...
http://arxiv.org/abs/2308.02060.  , 2023
Link: http://arxiv.org/abs/230..
 
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