Rahim Entezari

According to our database, Rahim Entezari authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unlocking Intrinsic Fairness in Stable Diffusion.

Eunji Kim, Siwon Kim, Rahim Entezari, Sungroh Yoon

CoRR, 2024

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

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

CoRR, 2024

Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The Role of Pre-training Data in Transfer Learning.

Rahim Entezari, Mitchell Wortsman, Olga Saukh, Moein Shariatnia, Hanie Sedghi, Ludwig Schmidt

CoRR, 2023

DataComp: In search of the next generation of multimodal datasets.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

REPAIR: REnormalizing Permuted Activations for Interpolation Repair.

Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Studying the impact of magnitude pruning on contrastive learning methods.

Francesco Corti, Rahim Entezari, Sara Hooker, Davide Bacciu, Olga Saukh

CoRR, 2022

Understanding the effect of sparsity on neural networks robustness.

Lukas Timpl, Rahim Entezari, Hanie Sedghi, Behnam Neyshabur, Olga Saukh

CoRR, 2022

Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images.

Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh

CoRR, 2022

Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images.

Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh

Proceedings of the Applications of Medical Artificial Intelligence, 2022

To Share or Not to Share: On Location Privacy in IoT Sensor Data.

Franz Papst, Naomi Stricker, Rahim Entezari, Olga Saukh

Proceedings of the Seventh IEEE/ACM International Conference on Internet-of-Things Design and Implementation, 2022

The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks.

Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

PhD Forum Abstract: Understanding Deep Model Compression for IoT Devices.

Rahim Entezari

Proceedings of the 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2020

2019

Class-dependent Compression of Deep Neural Networks.

Rahim Entezari, Olga Saukh

CoRR, 2019

Deep and Efficient Impact Models for Edge Characterization and Control of Energy Events.

Grigore Stamatescu, Rahim Entezari, Kay Römer, Olga Saukh

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

2018

Incoherent waveform design for compressed sensing radar based on pulse-train scenario.

Rahim Entezari, Alijabbar Rashidi

IET Commun., 2018

AVID: Adversarial Visual Irregularity Detection.

Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

RFID unilateral distance bounding protocols: A trade-off between mafia and distance fraud.

Rahim Entezari, Hossein Bahramgiri, Mahnaz Tajamolian

Comput. Commun., 2017

2014

A mafia and distance fraud high-resistance RFID distance bounding protocol.

Rahim Entezari, Hossein Bahramgiri, Mahnaz Tajamolian

Proceedings of the 11th International ISC Conference on Information Security and Cryptology, 2014