Rahim Entezari

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Transfer Learning

Histological Images

Top Venues

Publications

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
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. CoRR (2024)
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 (2023)
Rahim Entezari, Mitchell Wortsman, Olga Saukh, Moein Shariatnia, Hanie Sedghi, Ludwig Schmidt
The Role of Pre-training Data in Transfer Learning. CoRR (2023)
Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur
REPAIR: REnormalizing Permuted Activations for Interpolation Repair. ICLR (2023)
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)
Franz Papst, Naomi Stricker, Rahim Entezari, Olga Saukh
To Share or Not to Share: On Location Privacy in IoT Sensor Data. IoTDI (2022)
Lukas Timpl, Rahim Entezari, Hanie Sedghi, Behnam Neyshabur, Olga Saukh
Understanding the effect of sparsity on neural networks robustness. CoRR (2022)
Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images. CoRR (2022)
Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images. AMAI@MICCAI (2022)
Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur
REPAIR: REnormalizing Permuted Activations for Interpolation Repair. CoRR (2022)
Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks. ICLR (2022)
Francesco Corti, Rahim Entezari, Sara Hooker, Davide Bacciu, Olga Saukh
Studying the impact of magnitude pruning on contrastive learning methods. CoRR (2022)
Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks. CoRR (2021)
Rahim Entezari
PhD Forum Abstract: Understanding Deep Model Compression for IoT Devices. IPSN (2020)
Grigore Stamatescu, Rahim Entezari, Kay Römer, Olga Saukh
Deep and Efficient Impact Models for Edge Characterization and Control of Energy Events. ICPADS (2019)
Rahim Entezari, Olga Saukh
Class-dependent Compression of Deep Neural Networks. CoRR (2019)
Rahim Entezari, Alijabbar Rashidi
Incoherent waveform design for compressed sensing radar based on pulse-train scenario. IET Commun. 12 (17) (2018)
Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli
AVID: Adversarial Visual Irregularity Detection. CoRR (2018)
Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli
AVID: Adversarial Visual Irregularity Detection. ACCV (6) (2018)
Rahim Entezari, Hossein Bahramgiri, Mahnaz Tajamolian
RFID unilateral distance bounding protocols: A trade-off between mafia and distance fraud. Comput. Commun. 98 (2017)
Rahim Entezari, Hossein Bahramgiri, Mahnaz Tajamolian
A mafia and distance fraud high-resistance RFID distance bounding protocol. ISCISC (2014)