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Author search results
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- Michal Zajac 0001
Nethermind, UK - Michal Zajac 0002
University of Zielona Góra, Poland - Michal Zajac 0003
HTW Berlin, Germany - Michal Zajac 0004
Slovak University of Technology, Bratislava, Slovakia - Michal Zajac 0005
Jagiellonian University, Kraków, Poland
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Publication search results
found 88 matches
- 2024
- Hubert Dariusz Zajac, Jorge Miguel Neves Ribeiro, Silvia Ingala, Simona Gentile, Ruth Wanjohi, Samuel Nguku Gitau, Jonathan Frederik Carlsen, Michael Bachmann Nielsen, Tariq Osman Andersen:
"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts. Conference on Designing Interactive Systems 2024 - Michal Zajac, Tinne Tuytelaars, Gido M. van de Ven:
Prediction Error-based Classification for Class-Incremental Learning. ICLR 2024 - Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. ICML 2024 - Maciej Wolczyk, Bartlomiej Cupial, Mateusz Ostaszewski, Michal Bortkiewicz, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem. CoRR abs/2402.02868 (2024) - Hubert D. Zajac, Jorge M. N. Ribeiro, Silvia Ingala, Simona Gentile, Ruth Wanjohi, Samuel N. Gitau, Jonathan F. Carlsen, Michael B. Nielsen, Tariq O. Andersen:
"It depends": Configuring AI to Improve Clinical Usefulness Across Contexts. CoRR abs/2407.11978 (2024) - Nikolaus H. R. Howe, Michal Zajac, Ian R. McKenzie, Oskar Hollinsworth, Tom Tseng, Pierre-Luc Bacon, Adam Gleave:
Exploring Scaling Trends in LLM Robustness. CoRR abs/2407.18213 (2024) - Albert Garreta, Hayk Hovhanissyan, Aram Jivanyan, Ignacio Manzur, Isaac Villalobos, Michal Zajac:
On amortization techniques for FRI-based SNARKs. IACR Cryptol. ePrint Arch. 2024: 661 (2024) - 2023
- Alexander R. Block, Albert Garreta, Jonathan Katz, Justin Thaler, Pratyush Ranjan Tiwari, Michal Zajac:
Fiat-Shamir Security of FRI and Related SNARKs. ASIACRYPT (2) 2023: 3-40 - Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos:
Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. NeurIPS 2023 - Antonio Faonio, Dario Fiore, Markulf Kohlweiss, Luigi Russo, Michal Zajac:
From Polynomial IOP and Commitments to Non-malleable zkSNARKs. TCC (3) 2023: 455-485 - Michal Zajac, Kamil Deja, Anna Kuzina, Jakub M. Tomczak, Tomasz Trzcinski, Florian Shkurti, Piotr Milos:
Exploring Continual Learning of Diffusion Models. CoRR abs/2303.15342 (2023) - Michal Zajac, Tinne Tuytelaars, Gido M. van de Ven:
Prediction Error-based Classification for Class-Incremental Learning. CoRR abs/2305.18806 (2023) - Kellin Pelrine, Mohammad Taufeeque, Michal Zajac, Euan McLean, Adam Gleave:
Exploiting Novel GPT-4 APIs. CoRR abs/2312.14302 (2023) - Alexander R. Block, Albert Garreta, Jonathan Katz, Justin Thaler, Pratyush Ranjan Tiwari, Michal Zajac:
Fiat-Shamir Security of FRI and Related SNARKs. IACR Cryptol. ePrint Arch. 2023: 1071 (2023) - Alexander R. Block, Albert Garreta, Pratyush Ranjan Tiwari, Michal Zajac:
On Soundness Notions for Interactive Oracle Proofs. IACR Cryptol. ePrint Arch. 2023: 1256 (2023) - Antonio Faonio, Dario Fiore, Markulf Kohlweiss, Luigi Russo, Michal Zajac:
From Polynomial IOP and Commitments to Non-malleable zkSNARKs. IACR Cryptol. ePrint Arch. 2023: 569 (2023) - Albert Garreta, Adam Gagol, Aikaterini-Panagiota Stouka, Damian Straszak, Michal Zajac:
COMMON: Order Book with Privacy. IACR Cryptol. ePrint Arch. 2023: 1868 (2023) - 2022
- Lukás Bucinský, Dusan Bortnák, Marián Gall, Ján Matúska, Viktor Milata, Michal Pitonák, Marek Steklác, Daniel Végh, Dávid Zajacek:
Machine learning prediction of 3CLpro SARS-CoV-2 docking scores. Comput. Biol. Chem. 98: 107656 (2022) - Helger Lipmaa, Janno Siim, Michal Zajac:
Counting Vampires: From Univariate Sumcheck to Updatable ZK-SNARK. ASIACRYPT (2) 2022: 249-278 - Mariusz Jankowski, Jacek Nazdrowicz, Piotr Zajac, Piotr Amrozik, Michal Szermer, Cezary Maj, Grzegorz Jablonski:
Observation of Readout Temperature Dependence and Its Variability for the MEMS and ASIC System Specimens and Their PCB Testbenches. MIXDES 2022: 110-115 - Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Disentangling Transfer in Continual Reinforcement Learning. NeurIPS 2022 - Chaya Ganesh, Hamidreza Khoshakhlagh, Markulf Kohlweiss, Anca Nitulescu, Michal Zajac:
What Makes Fiat-Shamir zkSNARKs (Updatable SRS) Simulation Extractable? SCN 2022: 735-760 - Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Disentangling Transfer in Continual Reinforcement Learning. CoRR abs/2209.13900 (2022) - Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos:
Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery. CoRR abs/2211.13715 (2022) - Helger Lipmaa, Janno Siim, Michal Zajac:
Counting Vampires: From Univariate Sumcheck to Updatable ZK-SNARK. IACR Cryptol. ePrint Arch. 2022: 406 (2022) - 2021
- Behzad Abdolmaleki, Helger Lipmaa, Janno Siim, Michal Zajac:
On Subversion-Resistant SNARKs. J. Cryptol. 34(3): 17 (2021) - Michal Szermer, Piotr Zajac, Piotr Amrozik, Cezary Maj, Mariusz Jankowski, Grzegorz Jablonski, Rafal Kielbik, Jacek Nazdrowicz, Malgorzata Napieralska, Bartosz Sakowicz:
A Capacitive 3-Axis MEMS Accelerometer for Medipost: A Portable System Dedicated to Monitoring Imbalance Disorders. Sensors 21(10): 3564 (2021) - Prastudy Fauzi, Helger Lipmaa, Janno Siim, Michal Zajac, Arne Tobias Ødegaard:
Verifiably-Extractable OWFs and Their Applications to Subversion Zero-Knowledge. ASIACRYPT (4) 2021: 618-649 - Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Continual World: A Robotic Benchmark For Continual Reinforcement Learning. NeurIPS 2021: 28496-28510 - Maciej Wolczyk, Michal Zajac, Razvan Pascanu, Lukasz Kucinski, Piotr Milos:
Continual World: A Robotic Benchmark For Continual Reinforcement Learning. CoRR abs/2105.10919 (2021)
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