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ORCIDAman Gupta
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
[j7]Amit Kumar Jakhar, Aman Gupta, Mrityunjay Singh
:
SELF: a stacked-based ensemble learning framework for breast cancer classification. Evol. Intell. 17(3): 1341-1356 (2024)- [c26]Fedor Borisyuk, Qingquan Song, Mingzhou Zhou, Ganesh Parameswaran, Madhu Arun, Siva Popuri, Tugrul Bingol, Zhuotao Pei, Kuang-Hsuan Lee, Lu Zheng, Qizhan Shao, Ali Naqvi, Sen Zhou, Aman Gupta:
LiNR: Model Based Neural Retrieval on GPUs at LinkedIn. CIKM 2024: 4366-4373 - [c25]Abhilash Jindal, Kaustubh Beedkar, Vishal Singh, J. Nausheen Mohammed, Tushar Singla, Aman Gupta, Keerti Choudhary:
Reactive Dataflow for Inflight Error Handling in ML Workflows. DEEM@SIGMOD 2024: 51-61 - [c24]Gregory Dexter, Borja Ocejo, S. Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna:
A Precise Characterization of SGD Stability Using Loss Surface Geometry. ICLR 2024 - [c23]Sagar Gupta, Aman Gupta:
Optimising the Carbon Footprint for Cloud Resources in a Cloud Environment. ICSA-C 2024: 215-221 - [c22]Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh:
LiRank: Industrial Large Scale Ranking Models at LinkedIn. KDD 2024: 4804-4815 - [c21]Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, S. Sathiya Keerthi, Ajith Muralidharan:
LiMAML: Personalization of Deep Recommender Models via Meta Learning. KDD 2024: 5882-5892 - [c20]Changshuai Wei, Benjamin Zelditch, Joyce Chen, Andre Assuncao Silva T. Ribeiro, Jingyi Kenneth Tay, Borja Ocejo Elizondo, Sathiya Keerthi Selvaraj, Aman Gupta, Licurgo Benemann De Almeida:
Neural Optimization with Adaptive Heuristics for Intelligent Marketing System. KDD 2024: 5938-5949 - [c19]Avinash Anand, Sarthak Jain, Shashank Sharma, Akhil P. Dominic, Aman Gupta, Ashta Verma, Raj Jaiswal, Naman Lal, Rajiv Ratn Shah, Roger Zimmermann:
Pulse of the Crowd: Quantifying Crowd Energy through Audio and Video Analysis. MIPR 2024: 308-314 - [i17]Zirui Liu, Qingquan Song, Qiang Charles Xiao, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Xia Hu:
FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference. CoRR abs/2401.04044 (2024) - [i16]Qiang Charles Xiao, Ajith Muralidharan, Birjodh Tiwana, Johnson Jia, Fedor Borisyuk, Aman Gupta, Dawn Woodard:
MultiSlot ReRanker: A Generic Model-based Re-Ranking Framework in Recommendation Systems. CoRR abs/2401.06293 (2024) - [i15]Gregory Dexter, Borja Ocejo, S. Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna:
A Precise Characterization of SGD Stability Using Loss Surface Geometry. CoRR abs/2401.12332 (2024) - [i14]Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh:
LiRank: Industrial Large Scale Ranking Models at LinkedIn. CoRR abs/2402.06859 (2024) - [i13]Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, Sathiya Keerthi Selvaraj, Ajith Muralidharan:
LiMAML: Personalization of Deep Recommender Models via Meta Learning. CoRR abs/2403.00803 (2024) - [i12]Changshuai Wei, Benjamin Zelditch, Joyce Chen, Andre Assuncao Silva T. Ribeiro, Jingyi Kenneth Tay, Borja Ocejo Elizondo, Sathiya Keerthi Selvaraj, Aman Gupta, Licurgo Benemann De Almeida:
Neural Optimization with Adaptive Heuristics for Intelligent Marketing System. CoRR abs/2405.10490 (2024) - [i11]Aman Gupta, Aditi Sheshadri, Sujit Roy, Vishal Gaur, Manil Maskey, Rahul Ramachandran:
Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation. CoRR abs/2406.14775 (2024) - [i10]Fedor Borisyuk, Qingquan Song, Mingzhou Zhou, Ganesh Parameswaran, Madhu Arun, Siva Popuri, Tugrul Bingol, Zhuotao Pei, Kuang-Hsuan Lee, Lu Zheng, Qizhan Shao, Ali Naqvi, Sen Zhou, Aman Gupta:
LiNR: Model Based Neural Retrieval on GPUs at LinkedIn. CoRR abs/2407.13218 (2024) - [i9]Johannes Schmude, Sujit Roy, Will Trojak, Johannes Jakubik, Daniel Salles Civitarese, Shraddha Singh, Julian Kuehnert, Kumar Ankur, Aman Gupta, Christopher Phillips, Romeo Kienzler, Daniela Szwarcman, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik F. Hamann, Campbell D. Watson, Manil Maskey, Tsengdar J. Lee, Juan Bernabé-Moreno, Rahul Ramachandran:
Prithvi WxC: Foundation Model for Weather and Climate. CoRR abs/2409.13598 (2024) - [i8]Aman Gupta, Anirudh Ravichandran, Ziji Zhang, Swair Shah, Anurag Beniwal, Narayanan Sadagopan:
DARD: A Multi-Agent Approach for Task-Oriented Dialog Systems. CoRR abs/2411.00427 (2024) - 2023
- [j6]M. N. Pushpalatha, Harshubh Meherishi, Avani Vaishnav, R. Anurag Pillai, Aman Gupta:
Facial emotion recognition and encoding application for the visually impaired. Neural Comput. Appl. 35(1): 749-755 (2023) - [j5]Aman Gupta, Shashank Mishra, Sourav Chandan Sahu, Ulligaddala Srinivasarao, K. Jairam Naik:
Application of Convolutional Neural Networks for COVID-19 Detection in X-ray Images Using InceptionV3 and U-Net. New Gener. Comput. 41(2): 475-502 (2023) - [c18]Aman Gupta, R. Swaminathan:
Blind Estimation of Polar Encoder Parameters. ANTS 2023: 385-390 - [c17]Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal:
Optimizing for Member Value in an Edge Building Marketplace. CIKM 2023: 5-14 - [c16]Aman Gupta, Megha Rathi:
Disentangling the Hidden Patterns of Heart Disease: A Factor Analysis and Machine Learning Approach for Early Detection and Prevention. IC3 2023: 386-395 - [c15]Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta:
Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference. KDD 2023: 5781-5782 - [c14]Ayan Acharya, Siyuan Gao, Borja Ocejo, Kinjal Basu, Ankan Saha, Sathiya Keerthi Selvaraj, Rahul Mazumder, Parag Agrawal, Aman Gupta:
Promoting Inactive Members in Edge-Building Marketplace. WWW (Companion Volume) 2023: 945-949 - [i7]Kayhan Behdin, Qingquan Song, Aman Gupta, Ayan Acharya, David Durfee, Borja Ocejo, S. Sathiya Keerthi, Rahul Mazumder:
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization. CoRR abs/2302.09693 (2023) - [i6]Kayhan Behdin, Ayan Acharya, Aman Gupta, Sathiya Keerthi Selvaraj, Rahul Mazumder:
QuantEase: Optimization-based Quantization for Language Models - An Efficient and Intuitive Algorithm. CoRR abs/2309.01885 (2023) - 2022
- [c13]Jun Shi, Chengming Jiang, Aman Gupta, Mingzhou Zhou, Yunbo Ouyang, Qiang Charles Xiao, Qingquan Song, Yi (Alice) Wu, Haichao Wei, Huiji Gao:
Generalized Deep Mixed Models. KDD 2022: 3869-3877 - [i5]David Durfee, Aman Gupta, Kinjal Basu:
Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization. CoRR abs/2202.04837 (2022) - [i4]Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, S. Sathiya Keerthi, Rahul Mazumder:
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization. CoRR abs/2212.04343 (2022) - 2021
- [i3]Aman Gupta, Deepak Bhatt, Anubha Pandey:
Transitioning from Real to Synthetic data: Quantifying the bias in model. CoRR abs/2105.04144 (2021) - [i2]Aman Gupta, Rohan Ramanath, Jun Shi, Anika Ramachandran, Sirou Zhou, Mingzhou Zhou, S. Sathiya Keerthi:
Logit Attenuating Weight Normalization. CoRR abs/2108.05839 (2021) - 2020
- [c12]Aman Gupta, Sirjan Kafle, Di Wen, Dylan Wang, Sumit Srivastava, Suhit Sinha, Nikita Gupta, Bharat Jain, Ananth Sankar, Liang Zhang:
Image and Video Understanding for Recommendation and Spam Detection Systems. KDD 2020: 3577-3578 - [p1]Aman Gupta, Aishwarya Ulhas Desai, Ankita Sahai:
Digital Forensics of Raspberry Pi Used for MITM. Digital Forensic Education 2020: 123-153 - [i1]Sirjan Kafle, Aman Gupta, Xue Xia, Ananth Sankar, Xi Chen, Di Wen, Liang Zhang:
Smoothed Gaussian Mixture Models for Video Classification and Recommendation. CoRR abs/2012.11673 (2020)
2010 – 2019
- 2019
- [c11]Benjamin Tag, Andrew W. Vargo, Aman Gupta, George Chernyshov, Kai Kunze, Tilman Dingler:
Continuous Alertness Assessments: Using EOG Glasses to Unobtrusively Monitor Fatigue Levels In-The-Wild. CHI 2019: 464 - [c10]Aman Gupta, Finn L. Strivens, Benjamin Tag, Kai Kunze, Jamie A. Ward:
Blink as you sync: uncovering eye and nod synchrony in conversation using wearable sensing. UbiComp 2019: 66-71 - 2018
- [j4]Devarshi Mrinal Das, Aman Gupta, Abhishek Srivastava, Amogh Vidwans, Meraj Ahmad, Aniruddha Shelke, Salil Kale, J. Ananthapadmanabhan, Dinesh Kumar Sharma, Maryam Shojaei Baghini:
A pulse oximeter system, OxiSense, with embedded signal processing using an ultra-low power ASIC designed for testability. Microelectron. J. 72: 1-10 (2018) - [c9]Aman Gupta:
Team WebArch at FIRE-2018 Track on Indian Native Language Identification. FIRE (Working Notes) 2018: 89-94 - 2017
- [j3]Haohan Wang, Aman Gupta, Ming Xu:
Extracting compact representation of knowledge from gene expression data for protein-protein interaction. Int. J. Data Min. Bioinform. 17(4): 279-292 (2017) - [c8]Devarshi Mrinal Das, Abhishek Srivastava, Aman Gupta, Kashyap Barot, Maryam Shojaei Baghini:
A noise-power-area optimized novel programmable gain and bandwidth instrumentation amplifier for biomedical applications. ISCAS 2017: 1-4 - 2016
- [c7]Aman Gupta, S. Muthukrishnan, Smita Wadhwa:
Optimizing callout in unified ad markets. IEEE BigData 2016: 1315-1321 - 2015
- [c6]Aman Gupta, Haohan Wang, Madhavi K. Ganapathiraju:
Learning structure in gene expression data using deep architectures, with an application to gene clustering. BIBM 2015: 1328-1335 - [c5]Tatsunori Hara, Tamio Arai, Aman Gupta:
An Interactive Model for the Synthesis of Service Functions Through Use Processes. ICServ 2015: 329-339 - 2014
- [j2]Mohammed Arif, Aman Gupta:
Assessing the Usability for Arabic Language Websites. Int. J. Technol. Hum. Interact. 10(3): 72-93 (2014) - 2013
- [j1]Aman Gupta, Gerald W. Evans, Sunderesh S. Heragu:
Simulation and optimization modeling for drive-through mass vaccination - A generalized approach. Simul. Model. Pract. Theory 37: 99-106 (2013) - [c4]Aman Gupta, Tanmay Verma, Soshant Bali, Sanjit Kaul:
Detecting MS initiated signaling DDoS attacks in 3G/4G wireless networks. COMSNETS 2013: 1-60 - 2011
- [c3]Robert Kelley, Aman Gupta, Anup Kumar, Sunderesh S. Heragu:
Using UICDS to Share Data in the Real-Time Decision Support System for Pandemic Response. CyberC 2011: 601-605 - [c2]Aman Gupta, Satyam Mandavalli, Vincent John Mooney, Keck Voon Ling, Arindam Basu, Henry Johan, Budianto Tandianus:
Low Power Probabilistic Floating Point Multiplier Design. ISVLSI 2011: 182-187
2000 – 2009
- 2009
- [c1]Anshul Singh, Aman Gupta, Sreehari Veeramachaneni, M. B. Srinivas:
A High Performance Unified BCD and Binary Adder/Subtractor. ISVLSI 2009: 211-216
Coauthor Index
aka: Sathiya Keerthi Selvaraj
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last updated on 2024-12-11 20:44 CET by the dblp team
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