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2020 – today
- 2024
[c6]Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher:
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations. ICML 2024- [i7]Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher:
Going beyond compositional generalization, DDPMs can produce zero-shot interpolation. CoRR abs/2405.19201 (2024) - 2023
- [c5]Fabian Latorre, Igor Krawczuk, Leello Tadesse Dadi, Thomas Pethick, Volkan Cevher:
Finding Actual Descent Directions for Adversarial Training. ICLR 2023 - [c4]Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher:
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees. ICLR 2023 - [c3]Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard:
DiGress: Discrete Denoising diffusion for graph generation. ICLR 2023 - [i6]Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher:
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees. CoRR abs/2308.09187 (2023) - [i5]Zeming Chen
, Alejandro Hernández-Cano, Angelika Romanou, Antoine Bonnet, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Syrielle Montariol, Mary-Anne Hartley, Martin Jaggi, Antoine Bosselut:
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. CoRR abs/2311.16079 (2023) - 2022
- [j1]Maxime Stauffer, Isaak Mengesha, Konrad Seifert, Igor Krawczuk, Jens Fischer, Giovanna Di Marzo Serugendo:
A Computational Turn in Policy Process Studies: Coevolving Network Dynamics of Policy Change. Complex. 2022: 8210732:1-8210732:17 (2022) - [c2]Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher:
Proximal Point Imitation Learning. NeurIPS 2022 - [i4]Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher:
Proximal Point Imitation Learning. CoRR abs/2209.10968 (2022) - [i3]Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard:
DiGress: Discrete Denoising diffusion for graph generation. CoRR abs/2209.14734 (2022) - 2021
- [i2]Shahar Avin, Haydn Belfield, Miles Brundage, Gretchen Krueger, Jasmine Wang, Adrian Weller, Markus Anderljung, Igor Krawczuk, David Krueger, Jonathan Lebensold, Tegan Maharaj, Noa Zilberman:
Filling gaps in trustworthy development of AI. CoRR abs/2112.07773 (2021) - 2020
- [i1]Miles Brundage, Shahar Avin, Jasmine Wang, Haydn Belfield, Gretchen Krueger, Gillian K. Hadfield, Heidy Khlaaf, Jingying Yang, Helen Toner, Ruth Fong, Tegan Maharaj, Pang Wei Koh, Sara Hooker, Jade Leung, Andrew Trask, Emma Bluemke, Jonathan Lebensold, Cullen O'Keefe, Mark Koren, Théo Ryffel, J. B. Rubinovitz, Tamay Besiroglu, Federica Carugati, Jack Clark, Peter Eckersley, Sarah de Haas, Maritza Johnson, Ben Laurie, Alex Ingerman, Igor Krawczuk, Amanda Askell, Rosario Cammarota, Andrew Lohn, David Krueger, Charlotte Stix, Peter Henderson, Logan Graham, Carina Prunkl, Bianca Martin, Elizabeth Seger, Noa Zilberman, Seán Ó hÉigeartaigh, Frens Kroeger, Girish Sastry, Rebecca Kagan, Adrian Weller, Brian Tse, Elizabeth Barnes, Allan Dafoe, Paul Scharre, Ariel Herbert-Voss, Martijn Rasser, Shagun Sodhani, Carrick Flynn, Thomas Krendl Gilbert, Lisa Dyer, Saif Khan, Yoshua Bengio, Markus Anderljung:
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. CoRR abs/2004.07213 (2020)
2010 – 2019
- 2019
- [c1]Irem Boybat, Cecilia Giovinazzo, Elmira Shahrabi, Igor Krawczuk, Iason Giannopoulos, Christophe Piveteau, Manuel Le Gallo, Carlo Ricciardi, Abu Sebastian, Evangelos Eleftheriou, Yusuf Leblebici:
Multi-ReRAM Synapses for Artificial Neural Network Training. ISCAS 2019: 1-5
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last updated on 2024-10-07 22:05 CEST by the dblp team
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