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Igor Krawczuk
Titolo
Citata da
Citata da
Anno
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
https://arxiv.org/abs/2004.07213, 2020
4342020
Digress: Discrete denoising diffusion for graph generation
C Vignac, I Krawczuk, A Siraudin, B Wang, V Cevher, P Frossard
arXiv preprint arXiv:2209.14734, 2022
3702022
Meditron-70b: Scaling medical pretraining for large language models
Z Chen, AH Cano, A Romanou, A Bonnet, K Matoba, F Salvi, ...
arXiv preprint arXiv:2311.16079, 2023
2542023
Filling gaps in trustworthy development of AI
S Avin, H Belfield, M Brundage, G Krueger, J Wang, A Weller, ...
Science 374 (6573), 1327-1329, 2021
512021
Toward trustworthy AI development: mechanisms for supporting verifiable claims (2020)
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2020
242020
GG-GAN: A geometric graph generative adversarial network, 2021
I Krawczuk, P Abranches, A Loukas, V Cevher
https://openreview.net/forum?id=qiAxL3Xqx1o, 2020
16*2020
Toward trustworthy AI development: Mechanisms for supporting verifiable claims. arXiv 2020
M Brundage, S Avin, J Wang, H Belfield, G Krueger, G Hadfield, H Khlaaf, ...
arXiv preprint arXiv:2004.07213, 2004
162004
Effect of metal buffer layer and thermal annealing on HfOx-based ReRAMs
J Sandrini, B Attarimashalkoubeh, E Shahrabi, I Krawczuk, Y Leblebici
2016 IEEE International Conference on the Science of Electrical Engineering …, 2016
152016
MEDITRON-70B: Scaling medical pretraining for large language models (2023)
Z Chen, AH Cano, A Romanou, A Bonnet, K Matoba, F Salvi, ...
URL: https://github. com/epfLLM/meditron, 0
13
Multi-ReRAM synapses for artificial neural network training
I Boybat, C Giovinazzo, E Shahrabi, I Krawczuk, I Giannopoulos, ...
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019
122019
Proximal point imitation learning
L Viano, A Kamoutsi, G Neu, I Krawczuk, V Cevher
Advances in Neural Information Processing Systems 35, 24309-24326, 2022
112022
Uncertainty-driven adaptive sampling via GANs
T Sanchez, I Krawczuk, Z Sun, V Cevher
NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020
62020
epfllm megatron-llm, 2023
AH Cano, M Pagliardini, A Köpf, K Matoba, A Mohtashami, X Wang, ...
URL https://github. com/epfLLM/Megatron-LLM, 0
6
A Computational Turn in Policy Process Studies: Coevolving Network Dynamics of Policy Change
M Stauffer, I Mengesha, K Seifert, I Krawczuk, J Fischer, ...
Complexity 2022 (1), 8210732, 2022
42022
Meditron: Open medical foundation models adapted for clinical practice
Z Chen, A Romanou, A Bonnet, A Hernández-Cano, B Alkhamissi, ...
32024
Closed loop deep Bayesian inversion: Uncertainty driven acquisition for fast MRI
T Sanchez, I Krawczuk, Z Sun, V Cevher
32020
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
J Deschenaux, I Krawczuk, G Chrysos, V Cevher
Forty-first International Conference on Machine Learning, 0
3
Distributed extra-gradient with optimal complexity and communication guarantees
A Ramezani-Kebrya, K Antonakopoulos, I Krawczuk, J Deschenaux, ...
arXiv preprint arXiv:2308.09187, 2023
12023
Method for interfacing with hardware accelerators
C Piveteau, N Ioannou, I Krawczuk, M Le Gallo-Bourdeau, A Sebastian, ...
US Patent 11,250,107, 2022
12022
Going beyond compositional generalization, DDPMs can produce zero-shot interpolation
J Deschenaux, I Krawczuk, G Chrysos, V Cevher
arXiv preprint arXiv:2405.19201, 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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