Mayank Agarwal

According to our database, Mayank Agarwal authored at least 79 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Design a metamaterial based applicator for hyperthermia cancer treatment.

Nitika Sharma, Hari Shankar Singh, Rajesh Khanna, Amanpreet Kaur, Mayank Agarwal

Biomed. Signal Process. Control., 2025

2024

PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews.

Prabhat Kumar Bharti, Meith Navlakha, Mayank Agarwal, Asif Ekbal

Lang. Resour. Evaluation, December, 2024

Fusion of Wavelet Decomposition and N-BEATS for Improved Stock Market Forecasting.

Neha Pramanick, Vatsal Singhal, Neeraj, Jimson Mathew, Mayank Agarwal

SN Comput. Sci., October, 2024

Enhanced IDS Using BBA and SMOTE-ENN for Imbalanced Data for Cybersecurity.

Neha Pramanick, Shourya Srivastava, Jimson Mathew, Mayank Agarwal

SN Comput. Sci., October, 2024

Comparing HAProxy Scheduling Algorithms During the DDoS Attacks.

Anmol Kumar, Gaurav Somani, Mayank Agarwal

IEEE Netw. Lett., June, 2024

Please be polite to your peers: a multi-task model for assessing the tone and objectivity of critiques of peer review comments.

Prabhat Kumar Bharti, Mayank Agarwal, Asif Ekbal

Scientometrics, March, 2024

PEERRec: An AI-based approach to automatically generate recommendations and predict decisions in peer review.

Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal

Int. J. Digit. Libr., March, 2024

Quick service during DDoS attacks in the container-based cloud environment.

Anmol Kumar, Mayank Agarwal

J. Netw. Comput. Appl., 2024

Performance evaluation of machine learning algorithms for the prediction of particle Froude number (Frn) using hyper-parameter optimizations techniques.

Deepti Shakya, Vishal Deshpande, Mir Jafar Sadegh Safari, Mayank Agarwal

Expert Syst. Appl., 2024

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.

Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi

CoRR, 2024

Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda

CoRR, 2024

Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models.

Mayank Agarwal, Yikang Shen, Bailin Wang, Yoon Kim, Jie Chen

CoRR, 2024

A Novel IDS Based on Jaya Optimizer and Smote-ENN for Cyberattacks Detection.

Fawzia Omer Albasheer, Raghavendra Ramesh Haibatti, Mayank Agarwal, Seung Yeob Nam

IEEE Access, 2024

An Investigation of Representation and Allocation Harms in Contrastive Learning.

Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Aligners: Decoupling LLMs and Alignment.

Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.

Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

Predicting flow velocity in a vegetative alluvial channel using standalone and hybrid machine learning techniques.

Sanjit Kumar, Bimlesh Kumar, Vishal Deshpande, Mayank Agarwal

Expert Syst. Appl., December, 2023

DLIRIR : Deep learning based improved Reverse Image Retrieval.

Divya Singh, Jimson Mathew, Mayank Agarwal, Mahesh Govind

Eng. Appl. Artif. Intell., November, 2023

Indoor dataset for Person Re-Identification: Exploring the impact of backpacks.

Divya Singh, Jimson Mathew, Mayank Agarwal, Mahesh Govind

J. Vis. Commun. Image Represent., October, 2023

Predicting total sediment load transport in rivers using regression techniques, extreme learning and deep learning models.

Deepti Shakya, Vishal Deshpande, Bimlesh Kumar, Mayank Agarwal

Artif. Intell. Rev., September, 2023

Geometry-biased Transformers for Novel View Synthesis.

Naveen Venkat, Mayank Agarwal, Maneesh Kumar Singh, Shubham Tulsiani

CoRR, 2023

Preserving Service Availability Under DDoS Attack in Micro-Service Based Cloud Infrastructure.

Anmol Kumar, Mayank Agarwal

Proceedings of the 16th International Conference on Security of Information and Networks, 2023

Dialogue System with Missing Observation.

Djallel Bouneffouf, Mayank Agarwal, Irina Rish

Proceedings of the IEEE International Conference on Acoustics, 2023

Explain-then-translate: an analysis on improving program translation with self-generated explanations.

Zilu Tang, Mayank Agarwal, Alexander Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness.

Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Standalone and ensemble-based machine learning techniques for particle Froude number prediction in a sewer system.

Deepti Shakya, Vishal Deshpande, Mayank Agarwal, Bimlesh Kumar

Neural Comput. Appl., 2022

Better Together? An Evaluation of AI-Supported Code Translation.

Justin D. Weisz, Michael J. Muller, Steven I. Ross, Fernando Martinez, Stephanie Houde, Mayank Agarwal, Kartik Talamadupula, John T. Richards

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Investigating Explainability of Generative AI for Code through Scenario-based Design.

Jiao Sun, Q. Vera Liao, Michael J. Muller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Drinking Chai with Your (AI) Programming Partner: A Design Fiction about Generative AI for Software Engineering 107-122.

Michael J. Muller, Steven I. Ross, Stephanie Houde, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz

Proceedings of the Joint Proceedings of the IUI 2022 Workshops: APEx-UI, 2022

Opportunies for Generative AI in UX Modernization 81-91.

Stephanie Houde, Steven I. Ross, Michael J. Muller, Mayank Agarwal, Fernando Martinez, John T. Richards, Kartik Talamadupula, Justin D. Weisz

Proceedings of the Joint Proceedings of the IUI 2022 Workshops: APEx-UI, 2022

A Method for Automatically Estimating the Informativeness of Peer Reviews.

Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal

Proceedings of the 19th International Conference on Natural Language Processing, 2022

BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments.

Prabhat Kumar Bharti, Tirthankar Ghosal, Mayank Agarwal, Asif Ekbal

Proceedings of the Linking Theory and Practice of Digital Libraries, 2022

Personalization in Federated Learning.

Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun

Proceedings of the Federated Learning, 2022

2021

Using Document Similarity Methods to create Parallel Datasets for Code Translation.

Mayank Agarwal, Kartik Talamadupula, Fernando Martinez, Stephanie Houde, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz

CoRR, 2021

COVID-19 India Dataset: Parsing Detailed COVID-19 Data in Daily Health Bulletins from States in India.

Mayank Agarwal, Tathagata Chakraborti, Sachin Grover

CoRR, 2021

On sensitivity of meta-learning to support data.

Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Perfection Not Required? Human-AI Partnerships in Code Translation.

Justin D. Weisz, Michael J. Muller, Stephanie Houde, John T. Richards, Steven I. Ross, Fernando Martinez, Mayank Agarwal, Kartik Talamadupula

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

How Data Scientists Improve Generated Code Documentation in Jupyter Notebooks.

Michael J. Muller, April Yi Wang, Steven I. Ross, Justin D. Weisz, Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, John T. Richards, Jaimie Drozdal, Xuye Liu, David Piorkowski, Dakuo Wang

Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

Toward Skills Dialog Orchestration with Online Learning.

Djallel Bouneffouf, Raphaël Féraud, Sohini Upadhyay, Mayank Agarwal, Yasaman Khazaeni, Irina Rish

Proceedings of the IEEE International Conference on Acoustics, 2021

DES Based IDS for detection Minimal De-authentication DoS Attack in 802.11 Wi-Fi Networks.

Mayank Agarwal

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2021

2020

Quality Estimation & Interpretability for Code Translation.

Mayank Agarwal, Kartik Talamadupula, Stephanie Houde, Fernando Martinez, Michael J. Muller, John T. Richards, Steven I. Ross, Justin D. Weisz

CoRR, 2020

Online Semi-Supervised Learning with Bandit Feedback.

Sohini Upadhyay, Mikhail Yurochkin, Mayank Agarwal, Yasaman Khazaeni, Djallel Bouneffouf

CoRR, 2020

IBM Federated Learning: an Enterprise Framework White Paper V0.1.

Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay

CoRR, 2020

CLAI: A Platform for AI Skills on the Command Line.

Mayank Agarwal, Jorge J. Barroso, Tathagata Chakraborti, Eli M. Dow, Kshitij P. Fadnis, Borja Godoy, Kartik Talamadupula

CoRR, 2020

NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands.

Mayank Agarwal, Tathagata Chakraborti, Quchen Fu, David Gros, Xi Victoria Lin, Jaron Maene, Kartik Talamadupula, Zhongwei Teng, Jules White

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

TraceHub - A Platform to Bridge the Gap between State-of-the-Art Time-Series Analytics and Datasets.

Shubham Agarwal, Christian Muise, Mayank Agarwal, Sohini Upadhyay, Zilu Tang, Zhongshen Zeng, Yasaman Khazaeni

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Discrete event system framework for fault diagnosis with measurement inconsistency: case study of rogue DHCP attack.

Mayank Agarwal, Santosh Biswas, Sukumar Nandi

IEEE CAA J. Autom. Sinica, 2019

A Bandit Approach to Posterior Dialog Orchestration Under a Budget.

Sohini Upadhyay, Mayank Agarwal, Djallel Bouneffouf, Yasaman Khazaeni

CoRR, 2019

Machine Translation: A Literature Review.

Ankush Garg, Mayank Agarwal

CoRR, 2019

Rogue Twin Attack Detection: A Discrete Event System Paradigm Approach.

Mayank Agarwal

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Statistical Model Aggregation via Parameter Matching.

Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bayesian Nonparametric Federated Learning of Neural Networks.

Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan H. Greenewald, Trong Nghia Hoang, Yasaman Khazaeni

Proceedings of the 36th International Conference on Machine Learning, 2019

CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision.

Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

An Efficient Scheme to Detect Evil Twin Rogue Access Point Attack in 802.11 Wi-Fi Networks.

Mayank Agarwal, Santosh Biswas, Sukumar Nandi

Int. J. Wirel. Inf. Networks, 2018

Anti-forensic = Suspicious: Detection of Stealthy Malware that Hides Its Network Traffic.

Mayank Agarwal, Rami Puzis, Jawad Haj-Yahya, Polina Zilberman, Yuval Elovici

Proceedings of the ICT Systems Security and Privacy Protection, 2018

3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image.

Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, Venkatesh Babu Radhakrishnan

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Intrusion detection system for PS-Poll DoS attack in 802.11 networks using real time discrete event system.

Mayank Agarwal, Sanketh Purwar, Santosh Biswas, Sukumar Nandi

IEEE CAA J. Autom. Sinica, 2017

2016

Machine learning approach for detection of flooding DoS attacks in 802.11 networks and attacker localization.

Mayank Agarwal, Dileep Pasumarthi, Santosh Biswas, Sukumar Nandi

Int. J. Mach. Learn. Cybern., 2016

2015

Advanced Stealth Man-in-The-Middle Attack in WPA2 Encrypted Wi-Fi Networks.

Mayank Agarwal, Santosh Biswas, Sukumar Nandi

IEEE Commun. Lett., 2015

Detection of De-Authentication DoS Attacks in Wi-Fi Networks: A Machine Learning Approach.

Mayank Agarwal, Santosh Biswas, Sukumar Nandi

Proceedings of the 2015 IEEE International Conference on Systems, 2015

I²-diagnosability framework for detection of Advanced Stealth Man in the Middle attack in Wi-Fi networks.

Mayank Agarwal, Santosh Biswas, Sukumar Nandi

Proceedings of the 23rd Mediterranean Conference on Control and Automation, 2015

2014

Compact Planar Monopole Antenna with Dual Band Notched Characteristics Using T-Shaped Stub and Rectangular Mushroom Type Electromagnetic Band Gap Structure for UWB and Bluetooth Applications.

Rajesh Singh, Gaurav Kumar Pandey, Mayank Agarwal, Hari Shankar Singh, Pradutt Kumar Bharti, Manoj Kumar Meshram

Wirel. Pers. Commun., 2014

2012

Cohort Selection through Content-Based Image Retrieval: vfM A Case Study.

Mayank Agarwal, Javed Mostafa

Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

2011

Convexity and convex approximations of discrete-time stochastic control problems with constraints.

Eugenio Cinquemani, Mayank Agarwal, Debasish Chatterjee, John Lygeros

Autom., 2011

Mitigating denial of service attack using CAPTCHA mechanism.

Mahendra Mehra, Mayank Agarwal, R. Pawar, Deven Shah

Proceedings of the ICWET '11 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 25, 2011

Secure authentication using dynamic virtual keyboard layout.

Mayank Agarwal, Mahendra Mehra, R. Pawar, Deven Shah

Proceedings of the ICWET '11 International Conference & Workshop on Emerging Trends in Technology, Mumbai, Maharashtra, India, February 25, 2011

Content-based image retrieval for Alzheimer's disease detection.

Mayank Agarwal, Javed Mostafa

Proceedings of the 9th International Workshop on Content-Based Multimedia Indexing, 2011

2010

Face Recognition Using Principle Component Analysis, Eigenface and Neural Network.

Mayank Agarwal, Himanshu Agrawal, Nikunj Jain, Manish Kumar

Proceedings of the 2010 International Conference on Signal Acquisition and Processing, 2010

2009

Identifying, Quantifying, Extracting and Enhancing Implicit Parallelism

Mayank Agarwal

PhD thesis, 2009

Protecting Global SOA from DoS and Other Security Threats.

Deven Shah, Ashish Mangal, Mayank Agarwal, Mahendra Mehra, Tushar Dave, Dhiren R. Patel

Proceedings of the Advances in Information Security and Assurance, 2009

Image Retrieval for Alzheimer's Disease Detection.

Mayank Agarwal, Javed Mostafa

Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2009

SPARTAN: A software tool for Parallelization Bottleneck Analysis.

Mayank Agarwal, Matthew I. Frank

Proceedings of the 2009 ICSE Workshop on Multicore Software Engineering, 2009

On convexity of stochastic optimization problems with constraints.

Mayank Agarwal, Eugenio Cinquemani, Debasish Chatterjee, John Lygeros

Proceedings of the 10th European Control Conference, 2009

2008

BlogWall: Social and Cultural Interaction for Children.

Adrian David Cheok, Owen Noel Newton Fernando, Imiyage Janaka Prasad Wijesena, Abd-ur-Rehman Mustafa, Ramkumar Shankar, Anne-Katrin Barthoff, Naoko Tosa, Yongsoon Choi, Mayank Agarwal

Adv. Hum. Comput. Interact., 2008

Fetch-Criticality Reduction through Control Independence.

Mayank Agarwal, Nitin Navale, Kshitiz Malik, Matthew I. Frank

Proceedings of the 35th International Symposium on Computer Architecture (ISCA 2008), 2008

Branch-mispredict level parallelism (BLP) for control independence.

Kshitiz Malik, Mayank Agarwal, Sam S. Stone, Kevin M. Woley, Matthew I. Frank

Proceedings of the 14th International Conference on High-Performance Computer Architecture (HPCA-14 2008), 2008

PaCo: Probability-based path confidence prediction.

Kshitiz Malik, Mayank Agarwal, Vikram Dhar, Matthew I. Frank

Proceedings of the 14th International Conference on High-Performance Computer Architecture (HPCA-14 2008), 2008

2007

Exploiting Postdominance for Speculative Parallelization.

Mayank Agarwal, Kshitiz Malik, Kevin M. Woley, Sam S. Stone, Matthew I. Frank

Proceedings of the 13st International Conference on High-Performance Computer Architecture (HPCA-13 2007), 2007

2005

SMPS: an FPGA-based prototyping environment for multiprocessor embedded systems (abstract only).

Ankit Mathur, Mayank Agarwal, Soumyadeb Mitra, Anup Gangwar, M. Balakrishnan, Subhashis Banerjee

Proceedings of the ACM/SIGDA 13th International Symposium on Field Programmable Gate Arrays, 2005