An active proxy based architecture for TCP in heterogeneous variable bandwidth networks. - Debojyoti Dutta; Yongguang Zhang (GLOBECOM, 2001)

Faster Network Design with Scenario Pre-Filtering. - Debojyoti Dutta; Ashish Goel; John S. Heidemann (MASCOTS, 2002)

Fair Stateless Aggregate Traffic Marking Using Active Queue Management Techniques. - Abhimanyu Das; Debojyoti Dutta; Ahmed Helmy (MMNS, 2002)

Oblivious AQM and nash equilibria. - Debojyoti Dutta; Ashish Goel; John S. Heidemann (Comput. Commun. Rev., 2002)

Towards Protocol Equilibrium with Oblivious Routers. - Debojyoti Dutta; Ashish Goel; John S. Heidemann (INFOCOM, 2004)

A low-state packet marking framework for approximate fair bandwidth allocation. - Abhimanyu Das; Debojyoti Dutta; Ahmed Helmy (IEEE Commun. Lett., 2004)

Low-state fairness: lower bounds and practical enforcement. - Abhimanyu Das; Debojyoti Dutta; Ahmed Helmy; Ashish Goel; John S. Heidemann (INFOCOM, 2005)

Data acquisition in multiple-sink sensor networks. - Abhimanyu Das; Debojyoti Dutta (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2005)

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)

Scalable Partitioning and Exploration of Chemical Spaces Using Geometric Hashing. - Debojyoti Dutta; Rajarshi Guha; Peter C. Jurs; Ting Chen (J. Chem. Inf. Model., 2006)

R-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)

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)

Mining behavioral groups in large wireless LANs. - Wei-jen Hsu; Debojyoti Dutta; Ahmed Helmy (MobiCom, 2007)

Speeding up tandem mass spectrometry database search: metric embeddings and fast near neighbor search. - Debojyoti Dutta; Ting Chen (Bioinform., 2007)

Ensemble Feature Selection: Consistent Descriptor Subsets for Multiple QSAR Models. - Debojyoti Dutta; Rajarshi Guha; David J. Wild 001; Ting Chen (J. Chem. Inf. Model., 2007)

Counting Clusters Using R-NN Curves. - Rajarshi Guha; Debojyoti Dutta; David J. Wild 001; Ting Chen (J. Chem. Inf. Model., 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)

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 (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2008)

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)

Similarity search and locality sensitive hashing using ternary content addressable memories. - Rajendra Shinde; Ashish Goel; Pankaj Gupta 002; Debojyoti Dutta (SIGMOD Conference, 2010)

Similarity Search and Locality Sensitive Hashing using TCAMs - Rajendra Shinde; Ashish Goel; Pankaj Gupta 002; Debojyoti Dutta (CoRR, 2010)

Widescope - A social platform for serious conversations on the Web - Noah Burbank; Debojyoti Dutta; Ashish Goel; David Lee 002; Eli Marschner; Narayanan Shivakumar (CoRR, 2011)

Embedding Paths into Trees: VM Placement to Minimize Congestion. - Debojyoti Dutta; Michael Kapralov; Ian Post; Rajendra Shinde (ESA, 2012)

CSI: A paradigm for behavior-oriented profile-cast services in mobile networks. - Wei-jen Hsu; Debojyoti Dutta; Ahmed Helmy (Ad Hoc Networks, 2012)

Optimal bandwidth-aware VM allocation for Infrastructure-as-a-Service - Debojyoti Dutta; Michael Kapralov; Ian Post; Rajendra Shinde (CoRR, 2012)

Structural Analysis of User Association Patterns in University Campus Wireless LANs. - Wei-jen Hsu; Debojyoti Dutta; Ahmed Helmy (IEEE Trans. Mob. Comput., 2012)

Detecting fraudulent activity in a cloud using privacy-friendly data aggregates. - Marc Solanas; Julio C. Hernandez-Castro; Debojyoti Dutta (CoRR, 2014)

Connected health: Opportunities and challenges. - Ankita R. Nambiar; Nikitha Reddy; Debojyoti Dutta (IEEE BigData, 2017)

A Study of Machine Learning in Healthcare. - Rohan Bhardwaj; Ankita R. Nambiar; Debojyoti Dutta (COMPSAC (2), 2017)

The Effect of Non Volatile Memory on a Distributed Storage System. - Ramdoot Pydipaty; Johnu George; Amit Kumar Saha; Debojyoti Dutta (HiPC Workshops, 2017)

Towards #consistentAI Position Paper. - Debojyoti Dutta; Amit Kumar Saha; Johnu George; Xinyuan Huang; Ramdoot Pydipaty; Purushotham Kamath; Lew Tucker (AI4I, 2018)

Kubebench: A Benchmarking Platform for ML Workloads. - Xinyuan Huang; Amit Kumar Saha; Debojyoti Dutta; Ce Gao (AI4I, 2018)

Neural Architecture Construction using EnvelopeNets. - Purushotham Kamath; Abhishek Singh; Debo Dutta (CoRR, 2018)

Foreign English Accent Adjustment by Learning Phonetic Patterns. - Fedor Kitashov; Elizaveta Svitanko; Debojyoti Dutta (CoRR, 2018)

Tiered Object Storage using Persistent Memory. - Johnu George; Ramdoot Pydipaty; Xinyuan Huang; Amit Saha; Debo Dutta; Gary Wang; Uma Gangumalla (CoRR, 2018)

MIGAN: Malware Image Synthesis Using GANs. - Abhishek Singh; Debojyoti Dutta; Amit Saha (AAAI, 2019)

Benchmarking Deep Learning for Time Series: Challenges and Directions. - Xinyuan Huang; Geoffrey C. Fox; Sergey Serebryakov; Ankur Mohan; Pawel M. Morkisz; Debojyoti Dutta (IEEE BigData, 2019)

Katib: A Distributed General AutoML Platform on Kubernetes. - Jinan Zhou; Andrey Velichkevich; Kirill Prosvirov; Anubhav Garg; Yuji Oshima; Debo Dutta (OpML, 2019)

MLPerf Training Benchmark. - Peter Mattson; Christine Cheng; Cody Coleman; Greg Diamos; Paulius Micikevicius; David A. Patterson 001; Hanlin Tang; Gu-Yeon Wei; Peter Bailis; Victor Bittorf; David Brooks 001; Dehao Chen; et al. (CoRR, 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; Gregory F. Diamos; Cody Coleman; Paulius Micikevicius; David A. Patterson 001; Hanlin Tang; Gu-Yeon Wei; Peter Bailis; Victor Bittorf; David Brooks 001; Dehao Chen; et al. (MLSys, 2020)

Revisiting Neural Architecture Search. - Anubhav Garg; Amit Kumar Saha; Debo Dutta (CoRR, 2020)

Direct Federated Neural Architecture Search. - Anubhav Garg; Amit Kumar Saha; Debo Dutta (CoRR, 2020)

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; et al. (CoRR, 2021)

Benchmarking Considerations for Trustworthy and Responsible AI (Panel). - Ajay Dholakia; David Ellison; Miro Hodak; Debojyoti Dutta (TPCTC, 2022)

Data-Driven Evaluation of Training Action Space for Reinforcement Learning. - Rajat Ghosh; Debojyoti Dutta (CoRR, 2022)

Benchmarking Generative AI Performance Requires a Holistic Approach. - Ajay Dholakia; David Ellison; Miro Hodak; Debojyoti Dutta; Carsten Binnig (TPCTC, 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 018; Rotem Dror; Danilo Brajovic; Xiaozhe Yao; Max Bartolo; William Gaviria Rojas; et al. (CoRR, 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; et al. (Nat. Mac. Intell., 2023)

Efficient Alignment of Large Language Models via Data Sampling. - Amrit Khera; Rajat Ghosh; Debojyoti Dutta (ENLSP, 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)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

CPP-UT-Bench: Can LLMs Write Complex Unit Tests in C++? - Vaishnavi Bhargava; Rajat Ghosh; Debojyoti Dutta (CoRR, 2024)

MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage. - Yongjun He 004; Roger Waleffe; Zhichao Han 001; Johnu George; Binhang Yuan; Zitao Zhang; Yinan Shan; Yang Zhao; Debojyoti Dutta; Theodoros Rekatsinas; Ce Zhang 001 (ICDE, 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; et al. (CoRR, 2025)

Predictive Scaling Laws for Efficient GRPO Training of Large Reasoning Models. - Datta Nimmaturi; Vaishnavi Bhargava; Rajat Ghosh; Johnu George; Debojyoti Dutta (CoRR, 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, 2025)