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ORCIDSaurabh Agarwal
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j21]Ishaya Peni Gambo
, Rhodes Massenon, Chia-Chen Lin, Roseline Oluwaseun Ogundokun, Saurabh Agarwal, Wooguil Pak:
Enhancing User Trust and Interpretability in AI-Driven Feature Request Detection for Mobile App Reviews: An Explainable Approach. IEEE Access 12: 114023-114045 (2024)- [j20]Sumit Singh Dhanda, Brahmjit Singh, Chia-Chen Lin, Poonam Jindal, Deepak Panwar, Tarun Kumar Sharma, Saurabh Agarwal, Wooguil Pak:
A Fast and Efficient 191-bit Elliptic Curve Cryptographic Processor Using a Hybrid Karatsuba Multiplier for IoT Applications. IEEE Access 12: 144304-144315 (2024) - [j19]Jiaming Gong, Noah Oluwatobi Akande, Chia-Chen Lin, Saurabh Agarwal:
A Dynamic and Incremental Graphical Grid Authentication Technique for Mobile and Web Applications. IEEE Access 12: 174831-174849 (2024) - [j18]Saurabh Agarwal, Ki-Hyun Jung:
Digital image steganalysis using entropy driven deep neural network. J. Inf. Secur. Appl. 84: 103799 (2024) - [j17]Meenakshi Malhotra, Savita Walia, Chia-Chen Lin, Inderdeep Kaur Aulakh, Saurabh Agarwal:
A systematic scrutiny of artificial intelligence-based air pollution prediction techniques, challenges, and viable solutions. J. Big Data 11(1): 142 (2024) - [j16]Saurabh Agarwal, Ki-Hyun Jung:
Forensic analysis and detection using polycolor model binary pattern for colorized images. Multim. Tools Appl. 83(14): 41683-41702 (2024) - [j15]Saurabh Agarwal, Ki-Hyun Jung:
Image operator forensics and sequence estimation using robust deep neural network. Multim. Tools Appl. 83(16): 47431-47454 (2024) - [j14]Saurabh Agarwal, K. V. Arya, Yogesh Kumar Meena:
MultiFusionNet: multilayer multimodal fusion of deep neural networks for chest X-ray image classification. Soft Comput. 28(19): 11535-11551 (2024) - [j13]Amrita Joshi, Saurabh Agarwal, Debi Prasanna Kanungo, Rajib Kumar Panigrahi:
Integration of Edge-AI Into IoT-Cloud Architecture for Landslide Monitoring and Prediction. IEEE Trans. Ind. Informatics 20(3): 4246-4258 (2024) - [j12]Saurabh Agarwal, K. V. Arya, Yogesh Kumar Meena:
CNN-O-ELMNet: Optimized Lightweight and Generalized Model for Lung Disease Classification and Severity Assessment. IEEE Trans. Medical Imaging 43(12): 4200-4210 (2024) - [c27]Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A Aly, Beidi Chen, Carole-Jean Wu:
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. ACL (1) 2024: 12622-12642 - [c26]Saurabh Agarwal, Amar Phanishayee, Shivaram Venkataraman:
Blox: A Modular Toolkit for Deep Learning Schedulers. EuroSys 2024: 1093-1109 - [c25]Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu:
CHAI: Clustered Head Attention for Efficient LLM Inference. ICML 2024 - [i17]Saurabh Agarwal, K. V. Arya, Yogesh Kumar Meena:
MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification. CoRR abs/2401.00728 (2024) - [i16]Minghao Yan, Saurabh Agarwal, Shivaram Venkataraman:
Decoding Speculative Decoding. CoRR abs/2402.01528 (2024) - [i15]Saurabh Agarwal, Bilge Acun, Basil Hosmer, Mostafa Elhoushi, Yejin Lee, Shivaram Venkataraman, Dimitris Papailiopoulos, Carole-Jean Wu:
CHAI: Clustered Head Attention for Efficient LLM Inference. CoRR abs/2403.08058 (2024) - [i14]Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A Aly, Beidi Chen, Carole-Jean Wu:
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding. CoRR abs/2404.16710 (2024) - [i13]Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios G. Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos:
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition. CoRR abs/2410.05603 (2024) - 2023
- [j11]Arun Kumar Rai, Hari Om, Satish Chand, Saurabh Agarwal:
Reversible data hiding in encrypted image using two-pass pixel value ordering. J. Inf. Secur. Appl. 76: 103545 (2023) - [j10]Dilip Kumar Sharma, Bhuvanesh Singh, Saurabh Agarwal, Hyunsung Kim, Raj Sharma:
FakedBits- Detecting Fake Information on Social Platforms using Multi-Modal Features. KSII Trans. Internet Inf. Syst. 17(1): 51-73 (2023) - [j9]Saurabh Agarwal, Ki-Hyun Jung:
Median filtering detection using optimal multi-direction threshold on higher-order difference pixels. Multim. Tools Appl. 82(20): 30875-30893 (2023) - [j8]Saurabh Agarwal, Dae-Jea Cho, Ki-Hyun Jung:
Detecting Images in Two-Operator Series Manipulation: A Novel Approach Using Transposed Convolution and Information Fusion. Symmetry 15(10): 1898 (2023) - [j7]Saurabh Agarwal, Ki-Hyun Jung:
Exploring Symmetry in Digital Image Forensics Using a Lightweight Deep-Learning Hybrid Model for Multiple Smoothing Operators. Symmetry 15(12): 2096 (2023) - [c24]Hongyi Wang, Saurabh Agarwal, Pongsakorn U.-Chupala, Yoshiki Tanaka, Eric P. Xing, Dimitris Papailiopoulos:
Cuttlefish: Low-Rank Model Training without All the Tuning. MLSys 2023 - [c23]Saurabh Agarwal, Chengpo Yan, Ziyi Zhang, Shivaram Venkataraman:
Bagpipe: Accelerating Deep Recommendation Model Training. SOSP 2023: 348-363 - [i12]Hongyi Wang, Saurabh Agarwal, Pongsakorn U.-Chupala, Yoshiki Tanaka, Eric P. Xing, Dimitris S. Papailiopoulos:
Cuttlefish: Low-Rank Model Training without All the Tuning. CoRR abs/2305.02538 (2023) - [i11]Saurabh Agarwal, Amar Phanishayee, Shivaram Venkataraman:
Blox: A Modular Toolkit for Deep Learning Schedulers. CoRR abs/2312.12621 (2023) - 2022
- [j6]Saurabh Agarwal, Ki-Hyun Jung:
Median filtering forensics based on optimum thresholding for low-resolution compressed images. Multim. Tools Appl. 81(5): 7047-7062 (2022) - [j5]Savita Walia, Krishan Kumar, Saurabh Agarwal, Hyunsung Kim:
Using XAI for Deep Learning-Based Image Manipulation Detection with Shapley Additive Explanation. Symmetry 14(8): 1611 (2022) - [c22]Saurabh Agarwal, Hongyi Wang, Shivaram Venkataraman, Dimitris S. Papailiopoulos:
On the Utility of Gradient Compression in Distributed Training Systems. MLSys 2022 - [i10]Saurabh Agarwal, Ziyi Zhang, Shivaram Venkataraman:
BagPipe: Accelerating Deep Recommendation Model Training. CoRR abs/2202.12429 (2022) - 2021
- [c21]Saurabh Agarwal, Ki-Hyun Jung:
Image Forensics using Optimal Normalization in Challenging Environment. ICEIC 2021: 1-4 - [c20]Saurabh Agarwal, Hongyi Wang, Kangwook Lee, Shivaram Venkataraman, Dimitris S. Papailiopoulos:
Adaptive Gradient Communication via Critical Learning Regime Identification. MLSys 2021 - [c19]Hongyi Wang, Saurabh Agarwal, Dimitris S. Papailiopoulos:
Pufferfish: Communication-efficient Models At No Extra Cost. MLSys 2021 - [i9]Yuhan Liu, Saurabh Agarwal, Shivaram Venkataraman:
AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning. CoRR abs/2102.01386 (2021) - [i8]Saurabh Agarwal, Hongyi Wang, Shivaram Venkataraman, Dimitris S. Papailiopoulos:
On the Utility of Gradient Compression in Distributed Training Systems. CoRR abs/2103.00543 (2021) - [i7]Hongyi Wang, Saurabh Agarwal, Dimitris S. Papailiopoulos:
Pufferfish: Communication-efficient Models At No Extra Cost. CoRR abs/2103.03936 (2021) - 2020
- [c18]Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar:
Regularized Graph Convolutional Networks for Short Text Classification. COLING (Industry) 2020: 236-242 - [c17]Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos:
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. NeurIPS 2020 - [i6]Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos:
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. CoRR abs/2007.05084 (2020) - [i5]Saurabh Agarwal, Hongyi Wang, Kangwook Lee, Shivaram Venkataraman, Dimitris S. Papailiopoulos:
Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification. CoRR abs/2010.16248 (2020)
2010 – 2019
- 2019
- [j4]Ian Pan, Saurabh Agarwal, Derek Merck:
Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks. J. Digit. Imaging 32(5): 888-896 (2019) - [i4]Aravindakshan Babu, Saurabh Agarwal, Sudarshan Babu, Hariharan Chandrasekaran:
Scalable K-Medoids via True Error Bound and Familywise Bandits. CoRR abs/1905.10979 (2019) - 2018
- [c16]Saurabh Agarwal, Ashish Kumar Gaurav, Mehul Kumar Nirala, Sayan Sinha:
Potential and Sampling Based RRT Star for Real-Time Dynamic Motion Planning Accounting for Momentum in Cost Function. ICONIP (7) 2018: 209-221 - [i3]Piyush Mital, Saurabh Agarwal, Bhargavi Neti, Yashodhara Haribhakta, Vibhavari Kamble, Krishnanjan Bhattacharjee, Debashri Das, Swati Mehta, Ajai Kumar:
Graph based Question Answering System. CoRR abs/1812.01828 (2018) - 2017
- [c15]Saurabh Agarwal, Mark Ingels, Marianna Pantouvaki, Michiel Steyaert, Philippe Absil, Joris Van Campenhout:
Highly integrated wavelength-locked Si photonic ring transmitter using direct monitoring of drop-port OMA. ESSCIRC 2017: 111-114 - 2016
- [j3]Saurabh Agarwal, Mark Ingels, Marianna Pantouvaki, Michiel Steyaert, Philippe Absil, Joris Van Campenhout:
Wavelength Locking of a Si Ring Modulator Using an Integrated Drop-Port OMA Monitoring Circuit. IEEE J. Solid State Circuits 51(10): 2328-2344 (2016) - [j2]Saurabh Agarwal, Satish Chand, Nikolay Skarbnik:
SPAM revisited for median filtering detection using higher-order difference. Secur. Commun. Networks 9(17): 4089-4102 (2016) - [c14]Saurabh Agarwal, Satish Chand:
Image forgery detection using Markov features in undecimated wavelet transform. IC3 2016: 1-6 - [c13]Saurabh Agarwal, Mark Ingels, Michal Rakowski, Marianna Pantouvaki, Michiel Steyaert, Philippe Absil, Joris Van Campenhout:
Wavelength locking of a Si photonic ring transmitter using a dithering-based OMA stabilizing feedback loop. OFC 2016: 1-3 - 2015
- [c12]Saurabh Agarwal, Mark Ingels, Michal Rakowski, Marianna Pantouvaki, Michiel Steyaert, Philippe P. Absil, Joris Van Campenhout:
Wavelength locking of a Si ring modulator using an integrated drop-port OMA monitoring circuit. A-SSCC 2015: 1-4 - [i2]Saurabh Agarwal, Punit Kumar Johari:
A Novel Approach to Develop a New Hybrid Technique for Trademark Image Retrieval. CoRR abs/1504.03315 (2015) - [i1]Vinay B. Y. Kumar, Pinalkumar Engineer, Mandar Datar, Yatish Turakhia, Saurabh Agarwal, Sanket Diwale, Sachin B. Patkar:
Framework for Application Mapping over Packet-Switched Network of FPGAs: Case Studies. CoRR abs/1508.06823 (2015) - 2014
- [c11]Joy Chandra Mukherjee, Saurabh Agarwal, Arobinda Gupta:
Distributed event notification in VANET with multiple service providers. DEBS 2014: 334-337 - [c10]Saurabh Agarwal, Mark Ingels, Michal Rakowski, Marianna Pantouvaki, Michiel Steyaert, Philippe Absil, Joris Van Campenhout:
Monitoring optical modulation amplitude using a low-power CMOS circuit for thermal control of Si ring transmitters. ECOC 2014: 1-3
2000 – 2009
- 2007
- [j1]Gyu Sang Choi, Saurabh Agarwal, Jin-Ha Kim, Chita R. Das, Andy B. Yoo:
Performance Comparison of Coscheduling Algorithms for Non-Dedicated Clusters Through a Generic Framework. Int. J. High Perform. Comput. Appl. 21(1): 91-105 (2007) - 2006
- [c9]Saurabh Agarwal, Ronald Cramer, Robbert de Haan:
Asymptotically Optimal Two-Round Perfectly Secure Message Transmission. CRYPTO 2006: 394-408 - [c8]Saurabh Agarwal, Gudmund Skovbjerg Frandsen:
A New GCD Algorithm for Quadratic Number Rings with Unique Factorization. LATIN 2006: 30-42 - [c7]Anirban Lahiri, Saurabh Agarwal, Anupam Basu, Bhargab B. Bhattacharya:
Recovery-Based Real-Time Static Scheduling for Battery Life Optimization. VLSI Design 2006: 469-472 - 2005
- [c6]Saurabh Agarwal, Rahul Garg, Nisheeth K. Vishnoi:
The Impact of Noise on the Scaling of Collectives: A Theoretical Approach. HiPC 2005: 280-289 - 2004
- [c5]Saurabh Agarwal, Gudmund Skovbjerg Frandsen:
Binary GCD Like Algorithms for Some Complex Quadratic Rings. ANTS 2004: 57-71 - [c4]Saurabh Agarwal, Rahul Garg, Meeta Sharma Gupta, José E. Moreira:
Adaptive incremental checkpointing for massively parallel systems. ICS 2004: 277-286 - 2003
- [c3]Saurabh Agarwal, Gyu Sang Choi, Chita R. Das, Andy B. Yoo, Shailabh Nagar:
Co-Ordinated Coscheduling in Time-Sharing Clusters through a Generic Framework. CLUSTER 2003: 84-91 - [c2]Gyu Sang Choi, Saurabh Agarwal, Jin-Ha Kim, Andy B. Yoo, Chita R. Das:
Impact of Job Allocation Strategies on Communication-Driven Coscheduling in Clusters. Euro-Par 2003: 160-168 - 2000
- [c1]Harpal S. Bassali, Jatin Chhugani, Saurabh Agarwal, Alok Aggarwal, Pradeep Dubey:
Compression Tolerant Watermarking for Image Verification. ICIP 2000: 430-433
Coauthor Index
aka: Dimitris Papailiopoulos
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