Giannis Daras - RankMe

46 papers A* 18Journal 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ambient Dataloops: Generative Models for Dataset Refinement. CoRR Adrián Rodríguez-Muñoz, William Daspit, Adam R. Klivans, Antonio Torralba, Constantinos Daskalakis, Giannis Daras
2026	J	`jnl`	Ambient Physics: Training Neural PDE Solvers with Partial Observations. CoRR Harris Abdul Majid, Giannis Daras, Francesco Tudisco, Steven McDonagh
2025	J	`jnl`	Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representational Alignment. CoRR Loukas Sfountouris, Giannis Daras, Paris Giampouras
2025	J	`jnl`	Ambient Diffusion Omni: Training Good Models with Bad Data. CoRR Giannis Daras, Adrián Rodríguez-Muñoz, Adam R. Klivans, Antonio Torralba, Constantinos Daskalakis
2025	A*	`conf`	Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data. ICLR Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alex Dimakis, Jonathan I. Tamir
2025	J	`jnl`	DiffEM: Learning from Corrupted Data with Diffusion Models via Expectation Maximization. CoRR Danial Hosseintabar, Fan Chen, Giannis Daras, Antonio Torralba, Constantinos Daskalakis
2025	A*	`conf`	Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion. ICML Kulin Shah, Alkis Kalavasis, Adam R. Klivans, Giannis Daras
2025	J	`jnl`	Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion. CoRR Kulin Shah, Alkis Kalavasis, Adam R. Klivans, Giannis Daras
2025	A*	`conf`	How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion. ICLR Giannis Daras, Yeshwanth Cherapanamjeri, Constantinos Daskalakis
2025	A*	`conf`	Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models. ICLR Negin Raoof, Litu Rout, Giannis Daras, Sujay Sanghavi, Constantine Caramanis, Sanjay Shakkottai, Alex Dimakis
2024	J	`jnl`	A Survey on Diffusion Models for Inverse Problems. CoRR Giannis Daras, Hyungjin Chung, Chieh-Hsin Lai, Yuki Mitsufuji, Jong Chul Ye, Peyman Milanfar, Alexandros G. Dimakis, Mauricio Delbracio
2024	J	`jnl`	Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data. CoRR Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alexandros G. Dimakis, Jonathan I. Tamir
2024	A*	`conf`	Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data. ICML Giannis Daras, Alex Dimakis, Constantinos Daskalakis
2024	J	`jnl`	Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data. CoRR Giannis Daras, Alexandros G. Dimakis, Constantinos Daskalakis
2024	A*	`conf`	DataComp-LM: In search of the next generation of training sets for language models. NeurIPS Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Scott Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. 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, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
2024	J	`jnl`	DataComp-LM: In search of the next generation of training sets for language models. CoRR 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 F. 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
2024	J	`jnl`	How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion. CoRR Giannis Daras, Yeshwanth Cherapanamjeri, Constantinos Daskalakis
2024	A*	`conf`	Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models. NeurIPS Giannis Daras, Weili Nie, Karsten Kreis, Alex Dimakis, Morteza Mardani, Nikola B. Kovachki, Arash Vahdat
2024	J	`jnl`	Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models. CoRR Giannis Daras, Weili Nie, Karsten Kreis, Alex Dimakis, Morteza Mardani, Nikola Borislavov Kovachki, Arash Vahdat
2023	A*	`conf`	Ambient Diffusion: Learning Clean Distributions from Corrupted Data. NeurIPS Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alex Dimakis, Adam R. Klivans
2023	J	`jnl`	Ambient Diffusion: Learning Clean Distributions from Corrupted Data. CoRR Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alexandros G. Dimakis, Adam R. Klivans
2023	A*	`conf`	Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent. NeurIPS Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis
2023	J	`jnl`	Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent. CoRR Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis
2023	A*	`conf`	DataComp: In search of the next generation of multimodal datasets. NeurIPS 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
2023	J	`jnl`	DataComp: In search of the next generation of multimodal datasets. CoRR 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
2023	J	`jnl`	Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type Samplers. CoRR Sitan Chen, Giannis Daras, Alexandros G. Dimakis
2023	A*	`conf`	Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers. ICML Sitan Chen, Giannis Daras, Alex Dimakis
2023	J	`jnl`	Soft Diffusion: Score Matching with General Corruptions. Trans. Mach. Learn. Res. Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alex Dimakis, Peyman Milanfar
2023	A*	`conf`	Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. NeurIPS Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, Sanjay Shakkottai
2023	J	`jnl`	Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. CoRR Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai
2022	J	`jnl`	Discovering the Hidden Vocabulary of DALLE-2. CoRR Giannis Daras, Alexandros G. Dimakis
2022	J	`jnl`	Multiresolution Textual Inversion. CoRR Giannis Daras, Alexandros G. Dimakis
2022	A*	`conf`	Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve. NeurIPS Giannis Daras, Negin Raoof, Zoi Gkalitsiou, Alex Dimakis
2022	J	`jnl`	Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve. CoRR Giannis Daras, Negin Raoof, Zoi Gkalitsiou, Alexandros G. Dimakis
2022	J	`jnl`	Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems. CoRR Giannis Daras, Yuval Dagan, Alexandros G. Dimakis, Constantinos Daskalakis
2022	A*	`conf`	Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems. ICML Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis
2022	J	`jnl`	Soft Diffusion: Score Matching for General Corruptions. CoRR Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alexandros G. Dimakis, Peyman Milanfar
2021	A*	`conf`	Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. ICML Giannis Daras, Joseph Dean, Ajil Jalal, Alex Dimakis
2021	J	`jnl`	Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. CoRR Giannis Daras, Joseph Dean, Ajil Jalal, Alexandros G. Dimakis
2021	A*	`conf`	Robust Compressed Sensing MRI with Deep Generative Priors. NeurIPS Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
2021	J	`jnl`	Robust Compressed Sensing MRI with Deep Generative Priors. CoRR Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
2021	J	`jnl`	Solving Inverse Problems with NerfGANs. CoRR Giannis Daras, Wen-Sheng Chu, Abhishek Kumar, Dmitry Lagun, Alexandros G. Dimakis
2020	A*	`conf`	SMYRF - Efficient Attention using Asymmetric Clustering. NeurIPS Giannis Daras, Nikita Kitaev, Augustus Odena, Alexandros G. Dimakis
2020	J	`jnl`	SMYRF: Efficient Attention using Asymmetric Clustering. CoRR Giannis Daras, Nikita Kitaev, Augustus Odena, Alexandros G. Dimakis
2020	A*	`conf`	Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. CVPR Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis
2019	J	`jnl`	Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. CoRR Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis