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Rahim Entezari

Observed name: Entezari, Rahim
ORCID: 0000-0002-5770-8996
Observed ORCID: 0000-0002-5770-8996
OpenAlex ID: A5040683373
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
2024 · Esser, Patrick, Kulal, Sumith, et al. · arXiv (Cornell University) · 140
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DataComp: In search of the next generation of multimodal datasets
2023 · Samir Yitzhak Gadre, Gabriel Ilharco, et al. · neural information processing systems · 120
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AVID: Adversarial Visual Irregularity Detection
2019 · Mohammad Sabokrou, Masoud Pourreza, et al. · Lecture notes in computer science · 104
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The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
2021 · Entezari, Rahim, Sedghi, Hanie, et al. · arXiv (Cornell University) · 25
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REPAIR: REnormalizing Permuted Activations for Interpolation Repair
2022 · Jordan, Keller, Sedghi, Hanie, et al. · arXiv (Cornell University) · 14
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Measurement matrix optimization based on incoherent unit norm tight frame
2017 · Rahim Entezari, Alijabbar Rashidi · AEU - International Journal of Electronics and Communications · 14
The Role of Pre-training Data in Transfer Learning
2023 · Entezari, Rahim, Wortsman, Mitchell, et al. · arXiv (Cornell University) · 11
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Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images
2022 · Amirreza Mahbod, Rahim Entezari, et al. · Lecture notes in computer science · 10
Deep and Efficient Impact Models for Edge Characterization and Control of Energy Events
2019 · Grigore Stamatescu, Rahim Entezari, et al. · IEEE International Conference on Parallel and Distributed Systems (ICPADS) · 10
Incoherent waveform design for compressed sensing radar based on pulse‐train scenario
2018 · Rahim Entezari, Alijabbar Rashidi · IET Communications · 8
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Understanding the effect of sparsity on neural networks robustness
2022 · Timpl, Lukas, Entezari, Rahim, et al. · arXiv (Cornell University) · 7
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A mafia and distance fraud high-resistance RFID distance bounding protocol
2014 · Rahim Entezari, Hossein Bahramgiri, et al. · International ISC Conference on Information Security and Cryptology (ISCISC) · 6
Class-dependent Pruning of Deep Neural Networks
2020 · Rahim Entezari, Olga Saukh · IEEE Workshop on Machine Learning on Edge in Sensor Systems (SenSys-ML) · 5
Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion
2025 · Eunji Kim, Siwon Kim, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 4
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To Share or Not to Share: On Location Privacy in IoT Sensor Data
2022 · Franz Papst, Naomi Stricker, et al. · IEEE/ACM International Conference on Internet-of-Things Design and Implementation (IoTDI) · 4
Continuity pattern-based sparse Bayesian learning for inverse synthetic aperture radar imaging
2018 · Rahim Entezari, Alijabbar Rashidi · Journal of Applied Remote Sensing · 4
RFID unilateral distance bounding protocols: A trade-off between mafia and distance fraud
2016 · Rahim Entezari, Hossein Bahramgiri, et al. · Computer Communications · 4
Class-dependent Compression of Deep Neural Networks
2019 · Entezari, Rahim, Saukh, Olga · arXiv (Cornell University) · 2
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A probabilistic graphical model approach for human activity recognition using skeleton data
2016 · Amir Hossein Bayat, Mohammad Mahdi Arzani, et al. · International Conference on Signal Processing and Intelligent Systems (ICSPIS) · 2
SD3.5-Flash: Distribution-Guided Distillation of Generative Flows
2026 · Hmrishav Bandyopadhyay, Rahim Entezari, et al. · Lecture notes in computer science · 1
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Studying the impact of magnitude pruning on contrastive learning methods
2022 · Corti, Francesco, Entezari, Rahim, et al. · arXiv (Cornell University) · 1
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PhD Forum Abstract: Understanding Deep Model Compression for IoT Devices
2020 · Rahim Entezari · ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) · 1
Sparse Signal Reconstruction of Inverse Synthetic Aperture Radar based on Intra-Cluster Correlation
2020 · Jabbar Rashidi Ali, Iman Faramarzi, et al. · 1
A Variational Bayesian approach to Block-Sparse Reconstruction based on Intra-Cluster Relevance
2019 · Alijabbar Rashidi, Iman Faramarzi, et al. · International Conference on Knowledge-Based Engineering and Innovation · 1
Block Cascading: Training Free Acceleration of Block-Causal Video Models
2026 · Hmrishav Bandyopadhyay, Nikhil Pinnaparaju, et al.
Works count: 31
Citation count: 499
H-index: 9
I10-index: 9
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