Rahim Entezari

27 papers A* 5B 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Block Cascading: Training Free Acceleration of Block-Causal Video Models. CoRR Hmrishav Bandyopadhyay, Nikhil Pinnaparaju, Rahim Entezari, Jim Scott, Yi-Zhe Song, Varun Jampani
2025	A*	`conf`	Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion. CVPR Eunji Kim, Siwon Kim, Minjun Park, Rahim Entezari, Sungroh Yoon
2025	J	`jnl`	SD3.5-Flash: Distribution-Guided Distillation of Generative Flows. CoRR Hmrishav Bandyopadhyay, Rahim Entezari, Jim Scott, Reshinth Adithyan, Yi-Zhe Song, Varun Jampani
2025	J	`jnl`	Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation. CoRR Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi, Maksim Lapin, Reshinth Adithyan, Amit Raj, Chitta Baral, Yezhou Yang, Varun Jampani
2024	A*	`conf`	Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. ICML Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, Dustin Podell, Tim Dockhorn, Zion English, Robin Rombach
2024	J	`jnl`	Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. CoRR Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, Dustin Podell, Tim Dockhorn, Zion English, Kyle Lacey, Alex Goodwin, Yannik Marek, Robin Rombach
2024	J	`jnl`	Unlocking Intrinsic Fairness in Stable Diffusion. CoRR Eunji Kim, Siwon Kim, Rahim Entezari, Sungroh Yoon
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	A*	`conf`	REPAIR: REnormalizing Permuted Activations for Interpolation Repair. ICLR Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur
2023	J	`jnl`	The Role of Pre-training Data in Transfer Learning. CoRR Rahim Entezari, Mitchell Wortsman, Olga Saukh, Moein Shariatnia, Hanie Sedghi, Ludwig Schmidt
2022	J	`jnl`	Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images. CoRR Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh
2022	—	`conf`	Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images. AMAI@MICCAI Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh
2022	J	`jnl`	REPAIR: REnormalizing Permuted Activations for Interpolation Repair. CoRR Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur
2022	J	`jnl`	Studying the impact of magnitude pruning on contrastive learning methods. CoRR Francesco Corti, Rahim Entezari, Sara Hooker, Davide Bacciu, Olga Saukh
2022	A*	`conf`	The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks. ICLR Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur
2022	—	`conf`	To Share or Not to Share: On Location Privacy in IoT Sensor Data. IoTDI Franz Papst, Naomi Stricker, Rahim Entezari, Olga Saukh
2022	J	`jnl`	Understanding the effect of sparsity on neural networks robustness. CoRR Lukas Timpl, Rahim Entezari, Hanie Sedghi, Behnam Neyshabur, Olga Saukh
2021	J	`jnl`	The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks. CoRR Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur
2020	—	`conf`	PhD Forum Abstract: Understanding Deep Model Compression for IoT Devices. IPSN Rahim Entezari
2019	J	`jnl`	Class-dependent Compression of Deep Neural Networks. CoRR Rahim Entezari, Olga Saukh
2019	B	`conf`	Deep and Efficient Impact Models for Edge Characterization and Control of Energy Events. ICPADS Grigore Stamatescu, Rahim Entezari, Kay Römer, Olga Saukh
2018	—	`conf`	AVID: Adversarial Visual Irregularity Detection. ACCV (6) Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli
2018	J	`jnl`	AVID: Adversarial Visual Irregularity Detection. CoRR Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli
2018	J	`jnl`	Incoherent waveform design for compressed sensing radar based on pulse-train scenario. IET Commun. Rahim Entezari, Alijabbar Rashidi
2017	J	`jnl`	RFID unilateral distance bounding protocols: A trade-off between mafia and distance fraud. Comput. Commun. Rahim Entezari, Hossein Bahramgiri, Mahnaz Tajamolian
2014	—	`conf`	A mafia and distance fraud high-resistance RFID distance bounding protocol. ISCISC Rahim Entezari, Hossein Bahramgiri, Mahnaz Tajamolian