Somdeb Sarkhel

60 papers A* 11A 9B 6C 6Journal 16Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse. MMSys Kunjal Panchal, Saayan Mitra, Somdeb Sarkhel, Haoliang Wang, Ishita Dasgupta, Gang Wu, Hui Guan
2026	J	`jnl`	GT-SVJ: Generative-Transformer-Based Self-Supervised Video Judge For Efficient Video Reward Modeling. CoRR Shivanshu Shekhar, Uttaran Bhattacharya, Raghavendra Addanki, Md. Mehrab Tanjim, Somdeb Sarkhel, Tong Zhang
2026	J	`jnl`	Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation. CoRR Yeonjun In, Mehrab Tanjim, Jayakumar Subramanian, Sungchul Kim, Uttaran Bhattacharya, Wonjoong Kim, Sangwu Park, Somdeb Sarkhel, Chanyoung Park
2025	J	`jnl`	A Penalty Goes a Long Way: Measuring Lexical Diversity in Synthetic Texts Under Prompt-Influenced Length Variations. CoRR Vijeta Deshpande, Ishita Dasgupta, Uttaran Bhattacharya, Somdeb Sarkhel, Saayan Mitra, Anna Rumshisky
2025	B	`conf`	Accelerating k-means ++ Algorithm. IEEE Big Data Jiehao Liang, Somdeb Sarkhel, Zhao Song, Chenbo Yin, Zhen Zhuang, Danyang Zhuo
2025	J	`jnl`	Analyzing the Sensitivity of Vision Language Models in Visual Question Answering. CoRR Monika Shah, Sudarshan Balaji, Somdeb Sarkhel, Sanorita Dey, Deepak Venugopal
2025	J	`jnl`	Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse. CoRR Kunjal Panchal, Saayan Mitra, Somdeb Sarkhel, Haoliang Wang, Ishita Dasgupta, Gang Wu, Hui Guan
2025	J	`jnl`	Disentangling Fine-Tuning from Pre-Training in Visual Captioning with Hybrid Markov Logic. CoRR Monika Shah, Somdeb Sarkhel, Deepak Venugopal
2025	J	`jnl`	On Explaining Visual Captioning with Hybrid Markov Logic Networks. CoRR Monika Shah, Somdeb Sarkhel, Deepak Venugopal
2025	A	`conf`	Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in Representations. UAI Anup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, Deepak Venugopal
2025	J	`jnl`	SKALD: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation. CoRR Chen-Yi Lu, Md. Mehrab Tanjim, Ishita Dasgupta, Somdeb Sarkhel, Gang Wu, Saayan Mitra, Somali Chaterji
2025	A	`conf`	SmartEdit: Editing-driven Engagement Prediction and Enhancement of Short-Videos. ICME Saumya Gupta, Ishita Dasgupta, Stefano Petrangeli, Somdeb Sarkhel
2025	—	`conf`	VISIAR: Empower MLLM for Visual Story Ideation. ACL (Findings) Zhaoyang Xia, Somdeb Sarkhel, Md. Mehrab Tanjim, Stefano Petrangeli, Ishita Dasgupta, Yuxiao Chen, Jinxuan Xu, Di Liu, Saayan Mitra, Dimitris N. Metaxas
2024	B	`conf`	Disentangling Fine-Tuning from Pre-Training in Visual Captioning with Hybrid Markov Logic. IEEE Big Data Monika Shah, Somdeb Sarkhel, Deepak Venugopal
2024	—	`conf`	TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing. ACL (Findings) Pooja Guhan, Uttaran Bhattacharya, Somdeb Sarkhel, Vahid Azizi, Xiang Chen, Saayan Mitra, Aniket Bera, Dinesh Manocha
2024	A*	`conf`	ToolChain: Efficient Action Space Navigation in Large Language Models with A Search. ICLR Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
2024	J	`jnl`	Verifying Relational Explanations: A Probabilistic Approach. CoRR Abisha Thapa Magar, Anup Shakya, Somdeb Sarkhel, Deepak Venugopal
2024	J	`jnl`	X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation. CoRR Hanjia Lyu, Ryan A. Rossi, Xiang Chen, Md. Mehrab Tanjim, Stefano Petrangeli, Somdeb Sarkhel, Jiebo Luo
2023	B	`conf`	Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling. IEEE Big Data Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed
2023	A*	`conf`	Flash: Concept Drift Adaptation in Federated Learning. ICML Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan
2023	A*	`conf`	On the Verification of Embeddings with Hybrid Markov Logic. ICDM Anup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, Deepak Venugopal
2023	J	`jnl`	On the verification of Embeddings using Hybrid Markov Logic. CoRR Anup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, Deepak Venugopal
2023	J	`jnl`	ToolChain: Efficient Action Space Navigation in Large Language Models with A Search. CoRR Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang
2023	B	`conf`	Verifying Relational Explanations: A Probabilistic Approach. IEEE Big Data Abisha Thapa Magar, Anup Shakya, Somdeb Sarkhel, Deepak Venugopal
2022	J	`jnl`	A Faster k-means++ Algorithm. CoRR Jiehao Liang, Somdeb Sarkhel, Zhao Song, Chenbo Yin, Danyang Zhuo
2022	C	`conf`	Contextualized Styling of Images for Web Interfaces using Reinforcement Learning. ISM Pooja Guhan, Saayan Mitra, Somdeb Sarkhel, Stefano Petrangeli, Ritwik Sinha, Viswanathan Swaminathan, Aniket Bera, Dinesh Manocha
2022	B	`conf`	Evaluating Captioning Models using Markov Logic Networks. IEEE Big Data Monika Shah, Somdeb Sarkhel, Deepak Venugopal
2022	B	`conf`	Question Modifiers in Visual Question Answering. LREC William Britton, Somdeb Sarkhel, Deepak Venugopal
2022	—	`conf`	Towards Preserving Server-Side Privacy of On-Device Models. WWW (Companion Volume) Akanksha Atrey, Ritwik Sinha, Somdeb Sarkhel, Saayan Mitra, David Arbour, Akash Maharaj, Prashant J. Shenoy
2021	C	`conf`	BOhance: Bayesian Optimization for Content Enhancement. ISM Trisha Mittal, Vishy Swaminathan, Somdeb Sarkhel, Ritwik Sinha, David Arbour, Saayan Mitra, Dinesh Manocha
2021	—	`conf`	Contrastive Learning in Neural Tensor Networks using Asymmetric Examples. IEEE BigData Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal
2021	—	`conf`	Interpretable Explanations for Probabilistic Inference in Markov Logic. IEEE BigData Khan Mohammad Al Farabi, Somdeb Sarkhel, Sanorita Dey, Deepak Venugopal
2021	C	`conf`	Open-Domain Trending Hashtag Recommendation for Videos. ISM Swapneel Mehta, Somdeb Sarkhel, Xiang Chen, Saayan Mitra, Viswanathan Swaminathan, Ryan A. Rossi, Ali Aminian, Han Guo, Kshitiz Garg
2020	—	`conf`	Augmenting Deep Learning with Relational Knowledge from Markov Logic Networks. IEEE BigData Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal
2020	J	`jnl`	Inferring Individual Level Causal Models from Graph-based Relational Time Series. CoRR Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed
2020	A	`conf`	Optimal Bidding Strategy without Exploration in Real-time Bidding. SDM Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan
2020	J	`jnl`	Optimal Bidding Strategy without Exploration in Real-time Bidding. CoRR Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan
2020	J	`jnl`	Scalable Bid Landscape Forecasting in Real-time Bidding. CoRR Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan
2020	A	`conf`	Scaling Dnn-Based Video Analysis By Coarse-Grained And Fine-Grained Parallelism. ICME Phanwadee Sinthong, Kanak Mahadik, Somdeb Sarkhel, Saayan Mitra
2019	A	`conf`	Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models. AISTATS Craig Kelly, Somdeb Sarkhel, Deepak Venugopal
2019	—	`conf`	Fine-Grained Explanations Using Markov Logic. ECML/PKDD (2) Khan Mohammad Al Farabi, Somdeb Sarkhel, Sanorita Dey, Deepak Venugopal
2019	A*	`conf`	On Lifted Inference Using Neural Embeddings. AAAI Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal
2019	—	`conf`	Scalable Bid Landscape Forecasting in Real-Time Bidding. ECML/PKDD (3) Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan
2018	A*	`conf`	Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks. AAAI Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate
2018	C	`conf`	Content-Based Effectiveness Prediction of Video Advertisements. ISM Qi Lou, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan
2018	A	`conf`	Efficient Weight Learning in High-Dimensional Untied MLNs. AISTATS Khan Mohammad Al Farabi, Somdeb Sarkhel, Deepak Venugopal
2018	A*	`conf`	Learning Mixtures of MLNs. AAAI Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal
2018	—	`conf`	Scaling up Inference in MLNs with Spark. IEEE BigData Mohammad Maminur Islam, Khan Mohammad Al Farabi, Somdeb Sarkhel, Deepak Venugopal
2017	A*	`conf`	Efficient Inference for Untied MLNs. IJCAI Somdeb Sarkhel, Deepak Venugopal, Nicholas Ruozzi, Vibhav Gogate
2017	C	`conf`	Personalized Video Recommendations for Shared Accounts. ISM Shuo Yang, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan
2017	C	`conf`	User Segment Identification Based on Similarity in Content Consumption. ISM Somdeb Sarkhel, Wreetabrata Kar, Viswanathan Swaminathan
2016	A	`conf`	Non-parametric Domain Approximation for Scalable Gibbs Sampling in MLNs. UAI Deepak Venugopal, Somdeb Sarkhel, Kyle Cherry
2016	A*	`conf`	On Parameter Tying by Quantization. AAAI Li Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate
2016	A*	`conf`	Scalable Training of Markov Logic Networks Using Approximate Counting. AAAI Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate
2016	A*	`conf`	Scaling-Up MAP and Marginal MAP Inference in Markov Logic. AAAI Somdeb Sarkhel
2015	—	`conf`	Fast Lifted MAP Inference via Partitioning. NIPS Somdeb Sarkhel, Parag Singla, Vibhav Gogate
2015	A*	`conf`	Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs. AAAI Deepak Venugopal, Somdeb Sarkhel, Vibhav Gogate
2014	—	`conf`	An Integer Polynomial Programming Based Framework for Lifted MAP Inference. NIPS Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate
2014	A	`conf`	Lifted MAP Inference for Markov Logic Networks. AISTATS Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate
2013	—	`conf`	Lifting WALKSAT-Based Local Search Algorithms for MAP Inference. StarAI@AAAI Somdeb Sarkhel, Vibhav Gogate