Somdeb Sarkhel

Research Scientist

San Jose

Somdeb is a Research Scientist at the Systems Technology Lab of Adobe Research. He received his Ph.D. in Computer Science from the University of Texas at Dallas under the supervision of Dr. Vibhav Gogate. His thesis was to develop scalable algorithms for inference and learning in large complex graphical models.

His current research work focuses on audience behavior understanding to improve recommendations, marketing strategy, and advertisement placement. He has a broad research interest in probabilistic graphical models, deep learning, Bayesian non-parametric, and neuro-symbolic reasoning.

Publications

TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing

Guhan, P., Bhattacharya, U., Sarkhel, S., Azizi, V., Chen, X., Mitra, S., Bera, A., Manocha, D. (Aug. 16, 2024)

The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Zhuang, Y., Chen, X., Yu, T., Mitra, S., Bursztyn, V., Rossi, R., Sarkhel, S., Zhang, C. (Mar. 12, 2024)

ICLR 2024

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)

Contextualized Styling of Images for Web Interfaces using Reinforcement Learning

Guhan, P., Mitra, S., Sarkhel, S., Petrangeli, S., Sinha, R., Swaminathan, V., Bera, A., Manocha, D. (Dec. 5, 2022)

IEEE International Symposium on Multimedia (ISM)

Towards Preserving Server-Side Privacy of On-Device Models

Atrey, A., Sinha, R., Sarkhel, S., Mitra, S., Arbour, D., Maharaj, A., Shenoy, P. (Apr. 25, 2022)

The Web Conference

BOhance: Bayesian Optimization for Content Enhancement

Mittal, T., Swaminathan, V., Sarkhel, S., Sinha, R., Arbour, D., Mitra, S., Manocha, D. (Nov. 1, 2021)

IEEE International Symposium on Multimedia (ISM)

Scaling DNN-based Video Analysis by Coarse-grained and Fine-grained Parallelism

Sinthong, P., Mahadik, K., Sarkhel, S., Mitra, S. (Jul. 6, 2020)

IEEE International Conference on Multimedia and Expo (ICME)

Optimal Bidding Strategy without Exploration in Real-time Bidding

Ghosh, A., Mitra, S., Sarkhel, S., Swaminathan, V. (Jan. 1, 2020)

SIAM International Conference on Data Mining

Scalable Bid Landscape Forecasting in Real-time Bidding

Ghosh, A., Mitra, S., Sarkhel, S., Xie, J., Wu, G., Swaminathan, V. (Sep. 16, 2019)

ECML-PKDD 2019

Content-Based Effectiveness Prediction of Video Advertisements

Lou, Q., Sarkhel, S., Mitra, S., Swaminathan, V. (Dec. 10, 2018)

IEEE ISM 2018

Personalized Video Recommendations for Shared Accounts

Yang, S., Sarkhel, S., Mitra, S., Swaminathan, V. (Dec. 11, 2017)

IEEE ISM 2017