Debojyoti Dutta

According to our database, Debojyoti Dutta authored at least 59 papers between 2001 and 2025.

Collaborative distances:

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

2025

RANGER - Repository-Level Agent for Graph-Enhanced Retrieval.

Pratik Shah, Rajat Ghosh, Aryan Singhal, Debojyoti Dutta

CoRR, September, 2025

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning.

Jinan Zhou, Rajat Ghosh, Vaishnavi Bhargava, Debojyoti Dutta, Aryan Singhal

CoRR, July, 2025

Predictive Scaling Laws for Efficient GRPO Training of Large Reasoning Models.

Datta Nimmaturi, Vaishnavi Bhargava, Rajat Ghosh, Johnu George, Debojyoti Dutta

CoRR, July, 2025

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons.

Shaona Ghosh, Heather Frase, Adina Williams, Sarah Luger, Paul Röttger, Fazl Barez, Sean McGregor, Kenneth Fricklas, Mala Kumar, Quentin Feuillade-Montixi, Kurt Bollacker, Felix Friedrich, Ryan Tsang, Bertie Vidgen, Alicia Parrish, Chris Knotz, Eleonora Presani, Jonathan Bennion, Marisa Ferrara Boston, Mike Kuniavsky, Wiebke Hutiri, James Ezick, Malek Ben Salem, Rajat Sahay, Sujata S. Goswami, Usman Gohar, Ben Huang, Supheakmungkol Sarin, Elie Alhajjar, Canyu Chen, Roman Eng, Kashyap Ramanandula Manjusha, Virendra Mehta, Eileen Long, Murali Emani, Natan Vidra, Benjamin Rukundo, Abolfazl Shahbazi, Kongtao Chen, Rajat Ghosh, Vithursan Thangarasa, Pierre Peigné, Abhinav Singh, Max Bartolo, Satyapriya Krishna, Mubashara Akhtar, Rafael Gold, Cody Coleman, Luis Oala, Vassil Tashev, Joseph Marvin Imperial, Amy Russ, Sasidhar Kunapuli, Nicolas Miailhe, Julien Delaunay, Bhaktipriya Radharapu, Rajat Shinde, Tuesday, Debojyoti Dutta, Declan Grabb, Ananya Gangavarapu, Saurav Sahay, Agasthya Gangavarapu, Patrick Schramowski, Stephen Singam, Tom David, Xudong Han, Priyanka Mary Mammen, Tarunima Prabhakar, Venelin Kovatchev, Ahmed Ahmed, Kelvin N. Manyeki, Sandeep Madireddy, Foutse Khomh, Fedor Zhdanov, Joachim Baumann, Nina Vasan, Xianjun Yang, Carlos Mougn, Jibin Rajan Varghese, Hussain Chinoy, Seshakrishna Jitendar, Manil Maskey, Claire V. Hardgrove, Tianhao Li, Aakash Gupta, Emil Joswin, Yifan Mai, Shachi H. Kumar, Cigdem Patlak, Kevin Lu, Vincent Alessi, Sree Bhargavi Balija, Chenhe Gu, Robert Sullivan, James Gealy, Matt Lavrisa, James Goel, Peter Mattson, Percy Liang, Joaquin Vanschoren

CoRR, March, 2025

MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage.

Yongjun He, Roger Waleffe, Zhichao Han, Johnu George, Binhang Yuan, Zitao Zhang, Yinan Shan, Yang Zhao, Debojyoti Dutta, Theodoros Rekatsinas, Ce Zhang

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

CPP-UT-Bench: Can LLMs Write Complex Unit Tests in C++?

Vaishnavi Bhargava, Rajat Ghosh, Debojyoti Dutta

CoRR, 2024

Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin N. Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren

CoRR, 2024

Exploring the Landscape of Phase-Locked Loop Architectures: A Comprehensive Review.

Debojyoti Dutta, Sai Pranshu Tumukunta, N. R. Sivaraaj, K. K. Abdul Majeed

IEEE Access, 2024

Efficient Alignment of Large Language Models via Data Sampling.

Amrit Khera, Rajat Ghosh, Debojyoti Dutta

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

2023

Federated benchmarking of medical artificial intelligence with MedPerf.

Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson

Nat. Mac. Intell., July, 2023

DMLR: Data-centric Machine Learning Research - Past, Present and Future.

Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

CoRR, 2023

Benchmarking Generative AI Performance Requires a Holistic Approach.

Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta, Carsten Binnig

Proceedings of the Performance Evaluation and Benchmarking: 15th TPC Technology Conference, 2023

2022

Data-Driven Evaluation of Training Action Space for Reinforcement Learning.

Rajat Ghosh, Debojyoti Dutta

CoRR, 2022

Benchmarking Considerations for Trustworthy and Responsible AI (Panel).

Ajay Dholakia, David Ellison, Miro Hodak, Debojyoti Dutta

Proceedings of the Performance Evaluation and Benchmarking, 2022

2021

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.

Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson

CoRR, 2021

2020

Direct Federated Neural Architecture Search.

Anubhav Garg, Amit Kumar Saha, Debo Dutta

CoRR, 2020

Revisiting Neural Architecture Search.

Anubhav Garg, Amit Kumar Saha, Debo Dutta

CoRR, 2020

MLPerf Training Benchmark.

Peter Mattson, Christine Cheng, Gregory F. Diamos, Cody Coleman, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debo Dutta, Udit Gupta, Kim M. Hazelwood, Andy Hock, Xinyuan Huang, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia

Proceedings of the Third Conference on Machine Learning and Systems, 2020

2019

NASIB: Neural Architecture Search withIn Budget.

Abhishek Singh, Anubhav Garg, Jinan Zhou, Shiv Ram Dubey, Debo Dutta

CoRR, 2019

MLPerf Training Benchmark.

Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia

CoRR, 2019

Katib: A Distributed General AutoML Platform on Kubernetes.

Jinan Zhou, Andrey Velichkevich, Kirill Prosvirov, Anubhav Garg, Yuji Oshima, Debo Dutta

Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

Benchmarking Deep Learning for Time Series: Challenges and Directions.

Xinyuan Huang, Geoffrey C. Fox, Sergey Serebryakov, Ankur Mohan, Pawel M. Morkisz, Debojyoti Dutta

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

MIGAN: Malware Image Synthesis Using GANs.

Abhishek Singh, Debojyoti Dutta, Amit Saha

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

2018

Tiered Object Storage using Persistent Memory.

Johnu George, Ramdoot Pydipaty, Xinyuan Huang, Amit Saha, Debo Dutta, Gary Wang, Uma Gangumalla

CoRR, 2018

Foreign English Accent Adjustment by Learning Phonetic Patterns.

Fedor Kitashov, Elizaveta Svitanko, Debojyoti Dutta

CoRR, 2018

Neural Architecture Construction using EnvelopeNets.

Purushotham Kamath, Abhishek Singh, Debo Dutta

CoRR, 2018

Kubebench: A Benchmarking Platform for ML Workloads.

Xinyuan Huang, Amit Kumar Saha, Debojyoti Dutta, Ce Gao

Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

Towards #consistentAI Position Paper.

Debojyoti Dutta, Amit Kumar Saha, Johnu George, Xinyuan Huang, Ramdoot Pydipaty, Purushotham Kamath, Lew Tucker

Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017

The Effect of Non Volatile Memory on a Distributed Storage System.

Ramdoot Pydipaty, Johnu George, Amit Kumar Saha, Debojyoti Dutta

Proceedings of the 24th IEEE International Conference on High Performance Computing Workshops, 2017

A Study of Machine Learning in Healthcare.

Rohan Bhardwaj, Ankita R. Nambiar, Debojyoti Dutta

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

Connected health: Opportunities and challenges.

Ankita R. Nambiar, Nikitha Reddy, Debojyoti Dutta

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2014

Detecting fraudulent activity in a cloud using privacy-friendly data aggregates.

Marc Solanas, Julio C. Hernandez-Castro, Debojyoti Dutta

CoRR, 2014

2012

Structural Analysis of User Association Patterns in University Campus Wireless LANs.

Wei-jen Hsu, Debojyoti Dutta, Ahmed Helmy

IEEE Trans. Mob. Comput., 2012

Optimal bandwidth-aware VM allocation for Infrastructure-as-a-Service

Debojyoti Dutta, Michael Kapralov, Ian Post, Rajendra Shinde

CoRR, 2012

CSI: A paradigm for behavior-oriented profile-cast services in mobile networks.

Wei-jen Hsu, Debojyoti Dutta, Ahmed Helmy

Ad Hoc Networks, 2012

Embedding Paths into Trees: VM Placement to Minimize Congestion.

Debojyoti Dutta, Michael Kapralov, Ian Post, Rajendra Shinde

Proceedings of the Algorithms - ESA 2012, 2012

2011

Widescope - A social platform for serious conversations on the Web

Noah Burbank, Debojyoti Dutta, Ashish Goel, David Lee, Eli Marschner, Narayanan Shivakumar

CoRR, 2011

2010

Similarity Search and Locality Sensitive Hashing using TCAMs

Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojyoti Dutta

CoRR, 2010

Similarity search and locality sensitive hashing using ternary content addressable memories.

Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojyoti Dutta

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

2009

Extrapolating Psychological Insights from Facebook Profiles: A Study of Religion and Relationship Status.

Sean D. Young, Debo Dutta, Gopal Dommety

Cyberpsychology Behav. Soc. Netw., 2009

2008

CSI: A Paradigm for Behavior-oriented Delivery Services in Mobile Human Networks

Wei-jen Hsu, Debojyoti Dutta, Ahmed Helmy

CoRR, 2008

Profile-Cast: Behavior-Aware Mobile Networking.

Wei-jen Hsu, Debojyoti Dutta, Ahmed Helmy

Proceedings of the WCNC 2008, IEEE Wireless Communications & Networking Conference, March 31 2008, 2008

2007

On the structure of user association patterns in wireless LANs.

Wei-jen Hsu, Debojyoti Dutta, Ahmed Helmy

ACM SIGMOBILE Mob. Comput. Commun. Rev., 2007

Counting Clusters Using <i>R</i>-NN Curves.

Rajarshi Guha, Debojyoti Dutta, David J. Wild, Ting Chen

J. Chem. Inf. Model., 2007

Ensemble Feature Selection: Consistent Descriptor Subsets for Multiple QSAR Models.

Debojyoti Dutta, Rajarshi Guha, David J. Wild, Ting Chen

J. Chem. Inf. Model., 2007

Speeding up tandem mass spectrometry database search: metric embeddings and fast near neighbor search.

Debojyoti Dutta, Ting Chen

Bioinform., 2007

Mining behavioral groups in large wireless LANs.

Wei-jen Hsu, Debojyoti Dutta, Ahmed Helmy

Proceedings of the 13th Annual International Conference on Mobile Computing and Networking, 2007

2006

Local Lazy Regression: Making Use of the Neighborhood to Improve QSAR Predictions.

Rajarshi Guha, Debojyoti Dutta, Peter C. Jurs, Ting Chen

J. Chem. Inf. Model., 2006

<i>R</i>-NN Curves: An Intuitive Approach to Outlier Detection Using a Distance Based Method.

Rajarshi Guha, Debojyoti Dutta, Peter C. Jurs, Ting Chen

J. Chem. Inf. Model., 2006

Scalable Partitioning and Exploration of Chemical Spaces Using Geometric Hashing.

Debojyoti Dutta, Rajarshi Guha, Peter C. Jurs, Ting Chen

J. Chem. Inf. Model., 2006

Local similarity analysis reveals unique associations among marine bacterioplankton species and environmental factors.

Quansong Ruan, Debojyoti Dutta, Michael S. Schwalbach, Joshua A. Steele, Jed A. Fuhrman, Fengzhu Sun

Bioinform., 2006

2005

Low-state fairness: lower bounds and practical enforcement.

Abhimanyu Das, Debojyoti Dutta, Ahmed Helmy, Ashish Goel, John S. Heidemann

Proceedings of the INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 2005

2004

A low-state packet marking framework for approximate fair bandwidth allocation.

Abhimanyu Das, Debojyoti Dutta, Ahmed Helmy

IEEE Commun. Lett., 2004

Data acquisition in multiple-sink sensor networks.

Abhimanyu Das, Debojyoti Dutta

Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, 2004

Towards Protocol Equilibrium with Oblivious Routers.

Debojyoti Dutta, Ashish Goel, John S. Heidemann

Proceedings of the Proceedings IEEE INFOCOM 2004, 2004

2003

Oblivious AQM and Nash Equilibria.

Debojyoti Dutta, Ashish Goel, John S. Heidemann

Proceedings of the Proceedings IEEE INFOCOM 2003, The 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, San Franciso, CA, USA, March 30, 2003

2002

Fair Stateless Aggregate Traffic Marking Using Active Queue Management Techniques.

Abhimanyu Das, Debojyoti Dutta, Ahmed Helmy

Proceedings of the Management of Multimedia on the Internet, 2002

Faster Network Design with Scenario Pre-Filtering.

Debojyoti Dutta, Ashish Goel, John S. Heidemann

Proceedings of the 10th International Workshop on Modeling, 2002

2001

An active proxy based architecture for TCP in heterogeneous variable bandwidth networks.

Debojyoti Dutta, Yongguang Zhang

Proceedings of the Global Telecommunications Conference, 2001