Subrata Mitra

Senior Research Scientist

Bangalore

Subrata is a Senior Research Scientist at Adobe Research, Bangalore, India. His research interests span the areas of designing scalable and efficient machine-learning systems, generative-AI training and inference optimizations, cloud computing and big-data processing systems.

He obtained his Ph.D. in Computer Engineering from Purdue University, West Lafayette.
Prior to Adobe Research, he worked at Intel and Synopsys on new product development and interned at Microsoft Research, AT&T Research and Lawrence Livermore National Labs. He has co-authored 35+ publications in top systems and ML venues and have co-invented in 25+ filed US patents.

Personal webpage (more updated): here.
Google Scholar: here.
DBLP: here.
Email: <first_name>.<last_name>@adobe.com

 

Publications

ReCON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories

Lu, C., Agarwal, S., Tanjim, M., Mahadik, K., Rao, A., Mitra, S., Saini, S., Bagchi, S., Chaterji, S. (Sep. 29, 2024)

European Conference on Computer Vision (ECCV)

R2D2: Reducing Redundancy and Duplication in Data Lakes

Mukherjee, K., shah, R., Tyagi, A., Karnam, S., Joshi, D., Bhosale, S., Mitra, S. (Jun. 9, 2024)

International Conference on Management of Data (SIGMOD)

ScaleViz: Scaling Visualization Recommendation Models on Large Data

Ahmad, G., Agarwal, S., Mitra, S., Rossi, R., Doshi, M., Paila, S. (May. 7, 2024)

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Approximate Caching for Efficiently Serving Diffusion Models

Agarwal, S., Mitra, S., Chakraborty, S., Karanam, S., Mukherjee, K., Saini, S. (Apr. 16, 2024)

USENIX Symposium on Networked Systems Design and Implementation (NSDI)

Flash: Concept Drift Adaptation in Federated Learning

Panchal, K., Choudhary, S., Mitra, S., Mukherjee, K., Sarkhel, S., Mitra, S., Guan, H. (Jul. 23, 2023)

Proceedings of the 40th International Conference on Machine Learning (ICML)

Reinforced approximate exploratory data analysis

Garg, S., Mitra, S., Yu, T., Gadhia, Y., Kashettiwar, A. (Jun. 23, 2023)

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)

Fast Natural Language Based Data Exploration with Samples

Agarwal, S., Chan, G., Garg, S., Yu, T., Mitra, S. (Jun. 18, 2023)

International Conference on Management of Data (SIGMOD)

Seiden: Revisiting Query Processing in Video Database Systems

Bang, J., Kakkar, G., Chunduri, P., Mitra, S., Arulraj, J. (Jan. 5, 2023)

Proceedings of the VLDB Endowment (VLDB)

Root Cause Analysis of Failures in Microservices through Causal Discovery

Ikram, A., Chakraborty, S., Mitra, S., Saini, S., Bagchi, S., Kocaoglu, M. (Dec. 16, 2022)

Advances in Neural Information Processing Systems (Neurips)

Correlated Stochastic Knapsack with a Submodular Objective

Yang, S., Khuller, S., Choudhary, S., Mitra, S., Mahadik, K. (Sep. 1, 2022)

30th Annual European Symposium on Algorithms (ESA)

Efficient Insights Discovery through Conditional Generative Model based Query Approximation

Porwal, V., Mitra, S., Du, F., Anderson, J., Sheoran, N., Rao, A., Mai, T., Kowshik, G., Nair, S., Arora, S., Mahapatra, S. (Jun. 12, 2022)

International Conference on Management of Data (SIGMOD)

Conditional Generative Model based Predicate-Aware Query Approximation

Sheoran, N., Mitra, S., Porwal, V., Ghetia, S., Varshney, J., Mai, T., Rao, A., Maddukuri, V. (Feb. 22, 2022)

AAAI Conference on Artificial Intelligence

Scheduling ML Training on Unreliable Spot Instances

Yang, S., Khuller, S., Choudhary, S., Mitra, S., Mahadik, K. (Feb. 7, 2022)

Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC)

SONIC: Application-aware Data Passing for Chained Serverless Applications

Mahgoub, A., Shankar, K., Mitra, S., Klimovic, A., Chaterji, S., Bagchi, S. (Jul. 1, 2021)

USENIX Annual Technical Conference (ATC)

Data-Sharing Economy: Value-Addition from Data meets Privacy

Bagad, P., Mitra, S., Dhamnani, S., Sinha, A., Gautam, R., Khanna, H. (Mar. 8, 2021)

WSDM '21: ACM International Conference on Web Search and Data Mining

Scheduling of Time-Varying Workloads using Reinforcement Learning

Mondal, S., Sheoran, N., Mitra, S. (Feb. 9, 2021)

35th AAAI Conference on Artificial Intelligence (AAAI)

OPTIMUSCLOUD: Heterogeneous Configuration Optimization for Distributed Databases in the Cloud

Mahgoub, A., Medoff, A., Kumar, R., Mitra, S., Klimovic, A., Chaterji, S., Bagchi, S. (Jul. 1, 2020)

USENIX Annual Technical Conference (ATC)

DeepPlace: Learning to Place Applications in Multi-Tenant Clusters

Mitra, S., Mondal, S., Sheoran, N., Dhake, N., Nehra, R., Simha, R. (Aug. 19, 2019)

Proceedings of ACM/SIGOPS Asia-Pacific Workshop on Systems (APSys)

Edge-based Transcoding for Adaptive Live Video Streaming

Dogga, P., Chakraborty, S., Mitra, S., Netravali, R. (Jul. 1, 2019)

USENIX Workshop on Hot Topics in Edge Computing (HotEdge)

SOPHIA: Online Reconfiguration of Clustered NoSQL Databases for Time-Varying Workload

Mahgoub, A., Wood, P., Medoff, A., Mitra, S., Meyer, F., Chaterji, S., Bagchi, S. (Jul. 1, 2019)

USENIX Annual Technical Conference (ATC)

Pythia: Improving Datacenter Utilization via Precise Contention Prediction for Multiple Co-located Workloads

Xu, R., Mitra, S., Rahman, J., Bai, P., Zhou, B., Bronevetsky, G., Bagchi, S. (Dec. 10, 2018)

In the Proceedings of the 19th ACM International Middleware Conference (Middleware 2018)

VideoChef: Efficient Approximation for Streaming Video Processing Pipelines

Xu, R., Koo, J., Kumar, R., Bai, P., Mitra, S., Misailovic, S., Bagchi, S. (Apr. 23, 2018)

In the Proceedings of USENIX Annual Technical Conference (USENIX ATC)

Rafiki: a middleware for parameter tuning of NoSQL datastores for dynamic metagenomics workloads

Mahgoub, A., Wood, P., Ganesh, S., Mitra, S., Gerlach, W., Harrison, T., Meyer, F., Grama, A., Bagchi, S., Chaterji, S. (Dec. 11, 2017)

Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference (Middleware '17)

Phase-Aware Optimization in Approximate Computing

Mitra, S., Gupta, M., Misailovic, S., Bagchi, S. (Feb. 4, 2017)

In the Proceedings of the 2017 International Symposium on Code Generation and Optimization (CGO)

Sirius: Neural Network Based Probabilistic Assertions for Detecting Silent Data Corruption in Parallel Programs

Thomas, T., Bhattad, A., Mitra, S., Bagchi, S. (Sep. 26, 2016)

In the Proceedings of 35th Symposium on Reliable Distributed Systems (SRDS)

Partial-parallel-repair (PPR): a distributed technique for repairing erasure coded storage

Mitra, S., Panta, R., Ra, M., Bagchi, S. (Apr. 18, 2016)

In Proceedings of the Eleventh European Conference on Computer Systems (Eurosys-2016)

Dealing with the Unknown: Resilience to Prediction Errors

Mitra, S., Bronevetsky, G., Javagal, S., Bagchi, S. (Oct. 18, 2015)

In Proceedings of the 2015 International Conference on Parallel Architecture and Compilation (PACT)

ICE: An Integrated Configuration Engine for Interference Mitigation in Cloud Services

Maji, A., Mitra, S., Bagchi, S. (Jul. 7, 2015)

In the Proceedings of International Conference on Autonomic Computing (ICAC)

VIDalizer: An Energy Efficient Video Streamer

Raha, A., Mitra, S., Raghunathan, V., Rao, S. (Mar. 9, 2015)

In the Proceedings of Wireless Communications and Networking Conference (WCNC)

Mitigating Interference in Cloud Services by Middleware Reconfiguration

Maji, A., Mitra, S., Zhou, B., Bagchi, S., Verma, A. (Dec. 8, 2014)

In the Proceedings of the 15th International Middleware Conference (Middleware)

Accurate application progress analysis for large-scale parallel debugging

Mitra, S., Laguna, I., Ahn, D., Bagchi, S., Schulz, M., Gamblin, T. (Jun. 9, 2014)

In Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)

Automatic Problem Localization via Multi-dimensional Metric Profiling

Laguna, I., Mitra, S., Arshad, F., Theera-Ampornpunt, N., Zhu, Z., Bagchi, S., Midkiff, S., Kistler, M., Gheith, A. (Sep. 30, 2013)

In the Proceedings of 32nd International Symposium on Reliable Distributed Systems (SRDS)

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