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Saurabh Agarwal
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2020 – today
- 2024
- [j19]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) - [j18]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) - [j17]Saurabh Agarwal, Ki-Hyun Jung:
Digital image steganalysis using entropy driven deep neural network. J. Inf. Secur. Appl. 84: 103799 (2024) - [j16]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) - [j15]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) - [j14]Saurabh Agarwal, Ki-Hyun Jung:
Image operator forensics and sequence estimation using robust deep neural network. Multim. Tools Appl. 83(16): 47431-47454 (2024) - [j13]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) - [j12]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) - [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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