Somdeb Sarkhel
15 papers · 2014–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (45) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Trend Setter
π
Renaissance Researcher
(5)
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(80)
Venues
Top co-authors
Research topics
Artificial Intelligence
(12)
Machine Learning
(10)
Core AI
(8)
Optimization & Theory
(7)
Bayesian & Probabilistic Β· Artificial Intelligence
(6)
Core Methods
(6)
Computer Vision
(4)
Mathematics & Optimization
(4)
Learning Types Β· Machine Learning
(4)
Optimization
(4)
Deep Learning
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Generation
(3)
Learning Types Β· Deep Learning
(3)
Natural Language Processing
(2)
Keywords
markov logic network
(6)
lifted inference
(5)
map inference
(3)
contrastive learning
(2)
maximum a posteriori inference
(2)
video generation
(2)
probabilistic graphical model
(2)
multimodal learning
(2)
symmetry detection
(2)
graphical model
(2)
probabilistic modeling
(1)
probabilistic inference
(1)
visual question answering
(1)
conversational ai
(1)
approximate inference
(1)
relational learning
(1)
markov chain monte carlo
(1)
natural language processing
(1)
image generation
(1)
image translation
(1)
Papers
GT-SVJ: Generative-Transformer-Based Self-Supervised Video Judge For Efficient Video Reward Modeling
CVPR 2026
Analyzing the Sensitivity of Vision Language Models in Visual Question Answering
ACL 2025
Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in Representations
UAI 2025
SKALD: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation
ICCV 2025
VISIAR: Empower MLLM for Visual Story Ideation
ACL 2025
TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing
ACL 2024
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
ICLR 2024
Flash: Concept Drift Adaptation in Federated Learning
ICML 2023
Adaptive Rao-Blackwellisation in Gibbs Sampling for Probabilistic Graphical Models
AISTATS 2019
On Lifted Inference Using Neural Embeddings
AAAI 2019
Efficient Weight Learning in High-Dimensional Untied MLNs
AISTATS 2018
Efficient Inference for Untied MLNs
IJCAI 2017
Fast Lifted MAP Inference via Partitioning
NeurIPS 2015
An Integer Polynomial Programming Based Framework for Lifted MAP Inference
NeurIPS 2014
Lifted MAP Inference for Markov Logic Networks
AISTATS 2014