Sarkhel, Somdeb

20 publications

UAI 2025 Reparameterizing Hybrid Markov Logic Networks to Handle Covariate-Shift in Representations Anup Shakya, Abisha Thapa Magar, Somdeb Sarkhel, Deepak Venugopal

ICCV 2025 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

ICLR 2024 ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang

ICML 2023 Flash: Concept Drift Adaptation in Federated Learning Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan

AISTATS 2019 Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models Craig Kelly, Somdeb Sarkhel, Deepak Venugopal

ECML-PKDD 2019 Fine-Grained Explanations Using Markov Logic Khan Mohammad Al Farabi, Somdeb Sarkhel, Sanorita Dey, Deepak Venugopal

AAAI 2019 On Lifted Inference Using Neural Embeddings Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

ECML-PKDD 2019 Scalable Bid Landscape Forecasting in Real-Time Bidding Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan

AAAI 2018 Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate

AISTATS 2018 Efficient Weight Learning in High-Dimensional Untied MLNs Khan Mohammad Al Farabi, Somdeb Sarkhel, Deepak Venugopal

AAAI 2018 Learning Mixtures of MLNs Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

IJCAI 2017 Efficient Inference for Untied MLNs Somdeb Sarkhel, Deepak Venugopal, Nicholas Ruozzi, Vibhav Gogate

UAI 2016 Non-Parametric Domain Approximation for Scalable Gibbs Sampling in MLNs Deepak Venugopal, Somdeb Sarkhel, Kyle Cherry

AAAI 2016 On Parameter Tying by Quantization Li Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate

AAAI 2016 Scalable Training of Markov Logic Networks Using Approximate Counting Somdeb Sarkhel, Deepak Venugopal, Tuan Anh Pham, Parag Singla, Vibhav Gogate

AAAI 2016 Scaling-up MAP and Marginal MAP Inference in Markov Logic Somdeb Sarkhel

NeurIPS 2015 Fast Lifted MAP Inference via Partitioning Somdeb Sarkhel, Parag Singla, Vibhav G Gogate

AAAI 2015 Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs Deepak Venugopal, Somdeb Sarkhel, Vibhav Gogate

NeurIPS 2014 An Integer Polynomial Programming Based Framework for Lifted MAP Inference Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav G Gogate

AISTATS 2014 Lifted MAP Inference for Markov Logic Networks Somdeb Sarkhel, Deepak Venugopal, Parag Singla, Vibhav Gogate