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Giannis Daras
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2020 – today
- 2024
- [c12]Giannis Daras, Alex Dimakis, Constantinos Daskalakis:
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data. ICML 2024 - [i20]Asad Aali
, Giannis Daras, Brett Levac, Sidharth Kumar, Alexandros G. Dimakis, Jonathan I. Tamir:
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data. CoRR abs/2403.08728 (2024) - [i19]Giannis Daras, Alexandros G. Dimakis, Constantinos Daskalakis:
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data. CoRR abs/2404.10177 (2024) - [i18]Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar:
DataComp-LM: In search of the next generation of training sets for language models. CoRR abs/2406.11794 (2024) - [i17]Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai, Yuki Mitsufuji, Jong Chul Ye, Peyman Milanfar, Alexandros G. Dimakis, Mauricio Delbracio:
A Survey on Diffusion Models for Inverse Problems. CoRR abs/2410.00083 (2024) - [i16]Giannis Daras, Weili Nie, Karsten Kreis, Alex Dimakis, Morteza Mardani, Nikola Borislavov Kovachki, Arash Vahdat:
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models. CoRR abs/2410.16152 (2024) - 2023
- [j1]Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alex Dimakis, Peyman Milanfar:
Soft Diffusion: Score Matching with General Corruptions. Trans. Mach. Learn. Res. 2023 (2023) - [c11]Sitan Chen, Giannis Daras, Alex Dimakis:
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers. ICML 2023: 4462-4484 - [c10]Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis:
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent. NeurIPS 2023 - [c9]Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alex Dimakis, Adam R. Klivans:
Ambient Diffusion: Learning Clean Distributions from Corrupted Data. NeurIPS 2023 - [c8]Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt:
DataComp: In search of the next generation of multimodal datasets. NeurIPS 2023 - [c7]Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, Sanjay Shakkottai:
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. NeurIPS 2023 - [i15]Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis:
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent. CoRR abs/2302.09057 (2023) - [i14]Sitan Chen, Giannis Daras, Alexandros G. Dimakis:
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type Samplers. CoRR abs/2303.03384 (2023) - [i13]Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt:
DataComp: In search of the next generation of multimodal datasets. CoRR abs/2304.14108 (2023) - [i12]Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alexandros G. Dimakis, Adam R. Klivans:
Ambient Diffusion: Learning Clean Distributions from Corrupted Data. CoRR abs/2305.19256 (2023) - [i11]Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai:
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. CoRR abs/2307.00619 (2023) - 2022
- [c6]Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis:
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems. ICML 2022: 4722-4753 - [c5]Giannis Daras, Negin Raoof, Zoi Gkalitsiou, Alex Dimakis:
Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve. NeurIPS 2022 - [i10]Giannis Daras, Alexandros G. Dimakis:
Discovering the Hidden Vocabulary of DALLE-2. CoRR abs/2206.00169 (2022) - [i9]Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis:
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems. CoRR abs/2206.09104 (2022) - [i8]Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alexandros G. Dimakis, Peyman Milanfar:
Soft Diffusion: Score Matching for General Corruptions. CoRR abs/2209.05442 (2022) - [i7]Giannis Daras, Negin Raoof, Zoi Gkalitsiou, Alexandros G. Dimakis:
Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve. CoRR abs/2210.11618 (2022) - [i6]Giannis Daras, Alexandros G. Dimakis:
Multiresolution Textual Inversion. CoRR abs/2211.17115 (2022) - 2021
- [c4]Giannis Daras, Joseph Dean, Ajil Jalal, Alex Dimakis:
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. ICML 2021: 2421-2432 - [c3]Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir:
Robust Compressed Sensing MRI with Deep Generative Priors. NeurIPS 2021: 14938-14954 - [i5]Giannis Daras, Joseph Dean, Ajil Jalal, Alexandros G. Dimakis:
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. CoRR abs/2102.07364 (2021) - [i4]Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir:
Robust Compressed Sensing MRI with Deep Generative Priors. CoRR abs/2108.01368 (2021) - [i3]Giannis Daras, Wen-Sheng Chu, Abhishek Kumar, Dmitry Lagun, Alexandros G. Dimakis:
Solving Inverse Problems with NerfGANs. CoRR abs/2112.09061 (2021) - 2020
- [c2]Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis:
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. CVPR 2020: 14519-14527 - [c1]Giannis Daras, Nikita Kitaev, Augustus Odena, Alexandros G. Dimakis:
SMYRF - Efficient Attention using Asymmetric Clustering. NeurIPS 2020 - [i2]Giannis Daras, Nikita Kitaev, Augustus Odena, Alexandros G. Dimakis:
SMYRF: Efficient Attention using Asymmetric Clustering. CoRR abs/2010.05315 (2020)
2010 – 2019
- 2019
- [i1]Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis:
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. CoRR abs/1911.12287 (2019)
Coauthor Index
aka: Alex Dimakis
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