Somdeb Sarkhel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
14
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | MMSys | Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse. | Kunjal Panchal, Saayan Mitra, Somdeb Sarkhel, Haoliang Wang, Ishita Dasgupta, Gang Wu, Hui Guan |
| 2025 | ACL | VISIAR: Empower MLLM for Visual Story Ideation. | Zhaoyang Xia, Somdeb Sarkhel, Md. Mehrab Tanjim, Stefano Petrangeli, Ishita Dasgupta, Yuxiao Chen, Jinxuan Xu, Di Liu, Saayan Mitra, Dimitris N. Metaxas |
| 2025 | ICCV | Skald: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation. | Chen-Yi Lu, Md. Mehrab Tanjim, Ishita Dasgupta, Somdeb Sarkhel, Gang Wu, Saayan Mitra, Somali Chaterji |
| 2025 | UAI | Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in Representations. | Anup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, Deepak Venugopal |
| 2024 | ACL | TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing. | Pooja Guhan, Uttaran Bhattacharya, Somdeb Sarkhel, Vahid Azizi, Xiang Chen, Saayan Mitra, Aniket Bera, Dinesh Manocha |
| 2024 | ICLR | ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. | Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang |
| 2023 | ICDM | On the Verification of Embeddings with Hybrid Markov Logic. | Anup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, Deepak Venugopal |
| 2023 | ICML | Flash: Concept Drift Adaptation in Federated Learning. | Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan |
| 2022 | ISM | Contextualized Styling of Images for Web Interfaces using Reinforcement Learning. | Pooja Guhan, Saayan Mitra, Somdeb Sarkhel, Stefano Petrangeli, Ritwik Sinha, Viswanathan Swaminathan, Aniket Bera, Dinesh Manocha |
| 2022 | LREC | Question Modifiers in Visual Question Answering. | William Britton, Somdeb Sarkhel, Deepak Venugopal |
| 2022 | WWW | Towards Preserving Server-Side Privacy of On-Device Models. | Akanksha Atrey, Ritwik Sinha, Somdeb Sarkhel, Saayan Mitra, David Arbour, Akash Maharaj, Prashant J. Shenoy |
| 2021 | ISM | Open-Domain Trending Hashtag Recommendation for Videos. | Swapneel Mehta, Somdeb Sarkhel, Xiang Chen, Saayan Mitra, Viswanathan Swaminathan, Ryan A. Rossi, Ali Aminian, Han Guo, Kshitiz Garg |
| 2021 | ISM | BOhance: Bayesian Optimization for Content Enhancement. | Trisha Mittal, Vishy Swaminathan, Somdeb Sarkhel, Ritwik Sinha, David Arbour, Saayan Mitra, Dinesh Manocha |
| 2020 | SDM | Optimal Bidding Strategy without Exploration in Real-time Bidding. | Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan |
| 2019 | AAAI | On Lifted Inference Using Neural Embeddings. | Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal |
| 2019 | AISTATS | Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models. | Craig Kelly, Somdeb Sarkhel, Deepak Venugopal |
| 2018 | AAAI | Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks. | Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate |
| 2018 | AAAI | Learning Mixtures of MLNs. | Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal |
| 2018 | AISTATS | Efficient Weight Learning in High-Dimensional Untied MLNs. | Khan Mohammad Al Farabi, Somdeb Sarkhel, Deepak Venugopal |
| 2018 | ISM | Content-Based Effectiveness Prediction of Video Advertisements. | Qi Lou, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan |
| 2017 | IJCAI | Efficient Inference for Untied MLNs. | Somdeb Sarkhel, Deepak Venugopal, Nicholas Ruozzi, Vibhav Gogate |
| 2017 | ISM | User Segment Identification Based on Similarity in Content Consumption. | Somdeb Sarkhel, Wreetabrata Kar, Viswanathan Swaminathan |
| 2017 | ISM | Personalized Video Recommendations for Shared Accounts. | Shuo Yang, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan |
| 2016 | AAAI | On Parameter Tying by Quantization. | Li Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate |
| 2016 | AAAI | Scaling-Up MAP and Marginal MAP Inference in Markov Logic. | Somdeb Sarkhel |
| 2016 | AAAI | Scalable Training of Markov Logic Networks Using Approximate Counting. | Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate |
| 2016 | UAI | Non-parametric Domain Approximation for Scalable Gibbs Sampling in MLNs. | Deepak Venugopal, Somdeb Sarkhel, Kyle Cherry |
| 2015 | AAAI | Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs. | Deepak Venugopal, Somdeb Sarkhel, Vibhav Gogate |
| 2014 | AISTATS | Lifted MAP Inference for Markov Logic Networks. | Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate |
| 2013 | AAAI | Lifting WALKSAT-Based Local Search Algorithms for MAP Inference. | Somdeb Sarkhel, Vibhav Gogate |