| 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 | 203 | 2020 |
| 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 | 14 | 2021 |
| 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 | 11 | 2016 |
| 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 | 10 | 2019 |
| 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 | 9 | 2022 |
| 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, 0 | 8 | |
| GG-GAN: A geometric graph generative adversarial network, 2021 I Krawczuk, P Abranches, A Loukas, V Cevher URL https://openreview. net/forum, 0 | 5 | |
| Closed loop deep Bayesian inversion: Uncertainty driven acquisition for fast MRI T Sanchez, I Krawczuk, Z Sun, V Cevher | 3 | 2020 |
| Uncertainty-Driven Adaptive Sampling via GANs T Sanchez, I Krawczuk, Z Sun, V Cevher NeurIPS 2020 Workshop on Deep Learning and Inverse Problems, 2020 | 2 | 2020 |
| Proximal Point Imitation Learning L Viano, A Kamoutsi, G Neu, I Krawczuk, V Cevher arXiv preprint arXiv:2209.10968, 2022 | 1 | 2022 |
| 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, 2022 | 1 | 2022 |
| GG-GAN: A Geometric Graph Generative Adversarial Network I Krawczuk, P Abranches, A Loukas, V Cevher | 1 | 2021 |
| Distributed Extra-Gradient With Optimal Complexity And Communication Guarantees A Ramezani-Kebrya, K Antonakopoulos, I Krawczuk, J Deschenaux, ... 11th International Conference on Learning Representations (ICLR), 2023 | | 2023 |
| Finding Actual Descent Directions For Adversarial Training F Latorre, I Krawczuk, LT Dadi, TM Pethick, V Cevher 11th International Conference on Learning Representations (ICLR), 2023 | | 2023 |
| Supplementary material A Computational Turn in Policy Process Studies: Co-evolving Network Dynamics of Policy Change M Stauffer, I Mengesha, K Seifert, I Krawczuk, J Fischer, GDM Serugendo | | 2022 |
| Method for interfacing with hardware accelerators C Piveteau, N Ioannou, I Krawczuk, M Le Gallo-Bourdeau, A Sebastian, ... US Patent 11,250,107, 2022 | | 2022 |
| Circuit forward Modeling Via GNNs Z HADDAD, V CEVHER, I KRAWCZUK | | 2021 |
| Computational Policy Process Studies M Stauffer, K Seifert, I Mengesha, I Krawczuk, J Fischer, GDM Serugendo | | 2021 |
| On the benefits of deep RL in accelerated MRI sampling T Sanchez, I Krawczuk, V Cevher | | |
| Group ID U12179 A Alacaoglu, K Antonakopoulos, C Aprile, A Asaei, B Bah, L Baldassarre, ... | | |
Volkan CevherAssociate Professor, LIONS, EPFL. Amazon Scholar.Verified email at epfl.ch
