E-LIB Suche - Ergebnisse für: Bykov, Kirill

1

Mark My Words: Dangers of Watermarked Images in ImageNet:

, In: Communications in Computer and Information Science; Artificial Intelligence. ECAI 2023 International Workshops,

Bykov, Kirill ; Müller, Klaus-Robert ; Höhne, Marina M.-C. - p. 426-434 , 2024

Link: https://doi.org/10.1007/..

2

Finding Spurious Correlations with Function-Semantic Contra..:

, In: Communications in Computer and Information Science; Explainable Artificial Intelligence,

Bykov, Kirill ; Kopf, Laura ; Höhne, Marina M.-C. - p. 549-572 , 2023

Link: https://doi.org/10.1007/..

3

DRAMSys4.0: An Open-Source Simulation Framework for In-dept..:

Steiner, Lukas ; Jung, Matthias ; Prado, Felipe S...
International Journal of Parallel Programming. 50 (2022) 2 - p. 217-242 , 2022

Link: https://doi.org/10.1007/..

4

DRAMSys4.0: A Fast and Cycle-Accurate SystemC/TLM-Based DRA..:

, In: Lecture Notes in Computer Science; Embedded Computer Systems: Architectures, Modeling, and Simulation,

Steiner, Lukas ; Jung, Matthias ; Prado, Felipe S... - p. 110-126 , 2020

Link: https://doi.org/10.1007/..

5

Prevalence of burnout among psychiatrists: A systematic rev..:

Bykov, Kirill V. ; Zrazhevskaya, Inna A. ; Topka, Elvira O....
Journal of Affective Disorders. 308 (2022) - p. 47-64 , 2022

Link: https://doi.org/10.1016/..

6

Manipulating Feature Visualizations with Gradient Slingshot:

Bareeva, Dilyara ; Höhne, Marina M. -C ; Warnecke, Alexander...
http://arxiv.org/abs/2401.06122. , 2024

Link: http://arxiv.org/abs/240..

7

Mark My Words: Dangers of Watermarked Images in ImageNet:

Bykov, Kirill ; Müller, Klaus-Robert ; Höhne, Marina M. -C
http://arxiv.org/abs/2303.05498. , 2023

Link: http://arxiv.org/abs/230..

8

Labeling Neural Representations with Inverse Recognition:

Bykov, Kirill ; Kopf, Laura ; Nakajima, Shinichi..
http://arxiv.org/abs/2311.13594. , 2023

Link: http://arxiv.org/abs/231..

9

Visualizing the Diversity of Representations Learned by Bay..:

Grinwald, Dennis ; Bykov, Kirill ; Nakajima, Shinichi.
http://arxiv.org/abs/2201.10859. , 2022

Link: http://arxiv.org/abs/220..

10

DORA: Exploring Outlier Representations in Deep Neural Netw..:

Bykov, Kirill ; Deb, Mayukh ; Grinwald, Dennis..
http://arxiv.org/abs/2206.04530. , 2022

Link: http://arxiv.org/abs/220..

11

Explaining Bayesian Neural Networks:

Bykov, Kirill ; Höhne, Marina M. -C ; Creosteanu, Adelaida...
http://arxiv.org/abs/2108.10346. , 2021

Link: http://arxiv.org/abs/210..

12

NoiseGrad: Enhancing Explanations by Introducing Stochastic..:

Bykov, Kirill ; Hedström, Anna ; Nakajima, Shinichi.
http://arxiv.org/abs/2106.10185. , 2021

Link: http://arxiv.org/abs/210..

13

How Much Can I Trust You? -- Quantifying Uncertainties in E..:

Bykov, Kirill ; Höhne, Marina M. -C ; Müller, Klaus-Robert..
http://arxiv.org/abs/2006.09000. , 2020

Link: http://arxiv.org/abs/200..

14

RUSSIA AND FRANCE IN THE WORLD SPACE OF HIGHER EDUCATION ; ..:

Bartsits, Igor ; Ponomarenko, Elena ; Bykov, Kirill...
ISBN: ( ISBN version imprimée ). , 2018

Link: https://hal.science/hal-..

15

RUSSIA AND FRANCE IN THE WORLD SPACE OF HIGHER EDUCATION ; ..:

Bartsits, Igor ; Ponomarenko, Elena ; Bykov, Kirill...
ISBN: ( ISBN version imprimée ). , 2018

Link: https://hal.archives-ouv..