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Andrei Kucharavy
Andrei Kucharavy
Scientific Collaborator, HES-SO Valais/Wallis
Verified email at hevs.ch
Title
Cited by
Cited by
Year
Cytosolic proteostasis through importing of misfolded proteins into mitochondria
L Ruan, C Zhou, E Jin, A Kucharavy, Y Zhang, Z Wen, L Florens, R Li
Nature 543 (7645), 443-446, 2017
4322017
Actin depolymerization drives actomyosin ring contraction during budding yeast cytokinesis
IM Pinto, B Rubinstein, A Kucharavy, JR Unruh, R Li
Developmental cell 22 (6), 1247-1260, 2012
1832012
Targeting the adaptability of heterogeneous aneuploids
G Chen, WA Mulla, A Kucharavy, HJ Tsai, B Rubinstein, J Conkright, ...
Cell 160 (4), 771-784, 2015
1422015
Hypo-osmotic-like stress underlies general cellular defects of aneuploidy
HJ Tsai, AR Nelliat, MI Choudhury, A Kucharavy, WD Bradford, ME Cook, ...
Nature 570 (7759), 117-121, 2019
862019
Fundamentals of generative large language models and perspectives in cyber-defense
A Kucharavy, Z Schillaci, L Maréchal, M Würsch, L Dolamic, ...
arXiv preprint arXiv:2303.12132, 2023
172023
Robustness and evolvability of heterogeneous cell populations
A Kucharavy, B Rubinstein, J Zhu, R Li
Molecular biology of the cell 29 (11), 1400-1409, 2018
152018
Minimal genome encoding proteins with constrained amino acid repertoire
O Tsoy, M Yurieva, A Kucharavy, M O'Reilly, A Mushegian
Nucleic acids research 41 (18), 8444-8451, 2013
62013
Evolutionary algorithms in the light of SGD: Limit equivalence, minima flatness, and transfer learning
A Kucharavy, R Guerraoui, L Dolamic
ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life …, 2023
22023
Stochastic parrots looking for stochastic parrots: Llms are easy to fine-tune and hard to detect with other llms
DSG Henrique, A Kucharavy, R Guerraoui
arXiv preprint arXiv:2304.08968, 2023
22023
LLM-Based Entity Extraction Is Not for Cybersecurity
M Würsch, A Kucharavy, D Percia-David, A Mermoud
EEKE-AII 2023, 2023
22023
Needle in a haystack, fast: Benchmarking image perceptual similarity metrics at scale
C Vallez, A Kucharavy, L Dolamic
arXiv preprint arXiv:2206.00282, 2022
22022
Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs?
K Blin, A Kucharavy
arXiv preprint arXiv:2108.12275, 2021
22021
Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training
A Kucharavy, EME Mhamdi, R Guerraoui
arXiv preprint arXiv:2006.04720, 2020
22020
Cytosolic Proteostasis via Importing of Misfolded Proteins into Mitochondria
L Ruan, C Zhou, E Jin, A Kucharavy, Y Zhang, Z Wen, L Florens, R Li
MOLECULAR BIOLOGY OF THE CELL 27, 2016
22016
Byzantine-Resilient Learning Beyond Gradients: Distributing Evolutionary Search
A Kucharavy, M Monti, R Guerraoui, L Dolamic
Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023
12023
The probabilistic fault tolerance of neural networks in the continuous limit
EM El-Mhamdi, R Guerraoui, A Kucharavy, S Volodin
arXiv preprint arXiv:1902.01686, 2019
12019
Overview of Existing LLM Families
A Kucharavy
Large Language Models in Cybersecurity: Threats, Exposure and Mitigation, 31-44, 2024
2024
Fundamental Limitations of Generative LLMs
A Kucharavy
Large Language Models in Cybersecurity: Threats, Exposure and Mitigation, 55-64, 2024
2024
Adapting LLMs to Downstream Applications
A Kucharavy
Large Language Models in Cybersecurity: Threats, Exposure and Mitigation, 19-29, 2024
2024
From Deep Neural Language Models to LLMs
A Kucharavy
Large Language Models in Cybersecurity: Threats, Exposure and Mitigation, 3-17, 2024
2024
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