Somdeb Sarkhel

According to our database, Somdeb Sarkhel authored at least 43 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

X-Reflect: Cross-Reflection Prompting for Multimodal Recommendation.

Hanjia Lyu, Ryan A. Rossi, Xiang Chen, Md. Mehrab Tanjim, Stefano Petrangeli, Somdeb Sarkhel, Jiebo Luo

CoRR, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Disentangling Fine-Tuning from Pre-Training in Visual Captioning with Hybrid Markov Logic.

Monika Shah, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the IEEE International Conference on Big Data, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

On the verification of Embeddings using Hybrid Markov Logic.

Anup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, Deepak Venugopal

CoRR, 2023

Flash: Concept Drift Adaptation in Federated Learning.

Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan

Proceedings of the International Conference on Machine Learning, 2023

On the Verification of Embeddings with Hybrid Markov Logic.

Anup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the IEEE International Conference on Data Mining, 2023

Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling.

Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed

Proceedings of the IEEE International Conference on Big Data, 2023

Verifying Relational Explanations: A Probabilistic Approach.

Abisha Thapa Magar, Anup Shakya, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the IEEE International Conference on Big Data, 2023

2022

A Faster k-means++ Algorithm.

Jiehao Liang, Somdeb Sarkhel, Zhao Song, Chenbo Yin, Danyang Zhuo

CoRR, 2022

Towards Preserving Server-Side Privacy of On-Device Models.

Akanksha Atrey, Ritwik Sinha, Somdeb Sarkhel, Saayan Mitra, David Arbour, Akash Maharaj, Prashant J. Shenoy

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Question Modifiers in Visual Question Answering.

William Britton, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

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

Proceedings of the IEEE International Symposium on Multimedia, 2022

Evaluating Captioning Models using Markov Logic Networks.

Monika Shah, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the IEEE International Conference on Big Data, 2022

2021

BOhance: Bayesian Optimization for Content Enhancement.

Trisha Mittal, Vishy Swaminathan, Somdeb Sarkhel, Ritwik Sinha, David Arbour, Saayan Mitra, Dinesh Manocha

Proceedings of the IEEE International Symposium on Multimedia, 2021

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

Proceedings of the IEEE International Symposium on Multimedia, 2021

Contrastive Learning in Neural Tensor Networks using Asymmetric Examples.

Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Interpretable Explanations for Probabilistic Inference in Markov Logic.

Khan Mohammad Al Farabi, Somdeb Sarkhel, Sanorita Dey, Deepak Venugopal

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Inferring Individual Level Causal Models from Graph-based Relational Time Series.

Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed

CoRR, 2020

Optimal Bidding Strategy without Exploration in Real-time Bidding.

Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Scaling Dnn-Based Video Analysis By Coarse-Grained And Fine-Grained Parallelism.

Phanwadee Sinthong, Kanak Mahadik, Somdeb Sarkhel, Saayan Mitra

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Augmenting Deep Learning with Relational Knowledge from Markov Logic Networks.

Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Scalable Bid Landscape Forecasting in Real-Time Bidding.

Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Fine-Grained Explanations Using Markov Logic.

Khan Mohammad Al Farabi, Somdeb Sarkhel, Sanorita Dey, Deepak Venugopal

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models.

Craig Kelly, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

On Lifted Inference Using Neural Embeddings.

Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Content-Based Effectiveness Prediction of Video Advertisements.

Qi Lou, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan

Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

Scaling up Inference in MLNs with Spark.

Mohammad Maminur Islam, Khan Mohammad Al Farabi, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Efficient Weight Learning in High-Dimensional Untied MLNs.

Khan Mohammad Al Farabi, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Learning Mixtures of MLNs.

Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks.

Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Personalized Video Recommendations for Shared Accounts.

Shuo Yang, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan

Proceedings of the 19th IEEE International Symposium on Multimedia, 2017

User Segment Identification Based on Similarity in Content Consumption.

Somdeb Sarkhel, Wreetabrata Kar, Viswanathan Swaminathan

Proceedings of the 19th IEEE International Symposium on Multimedia, 2017

Efficient Inference for Untied MLNs.

Somdeb Sarkhel, Deepak Venugopal, Nicholas Ruozzi, Vibhav Gogate

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Non-parametric Domain Approximation for Scalable Gibbs Sampling in MLNs.

Deepak Venugopal, Somdeb Sarkhel, Kyle Cherry

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Scalable Training of Markov Logic Networks Using Approximate Counting.

Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Scaling-Up MAP and Marginal MAP Inference in Markov Logic.

Somdeb Sarkhel

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

On Parameter Tying by Quantization.

Li Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Fast Lifted MAP Inference via Partitioning.

Somdeb Sarkhel, Parag Singla, Vibhav Gogate

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs.

Deepak Venugopal, Somdeb Sarkhel, Vibhav Gogate

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

An Integer Polynomial Programming Based Framework for Lifted MAP Inference.

Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Lifted MAP Inference for Markov Logic Networks.

Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Lifting WALKSAT-Based Local Search Algorithms for MAP Inference.

Somdeb Sarkhel, Vibhav Gogate

Proceedings of the Statistical Relational Artificial Intelligence, 2013