Deepak Venugopal
14 papers · 2012–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(2)
π§
Keyword Pioneer
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Trend Setter
π
Conference Pioneer
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Renaissance Researcher
(6)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(58)
Top co-authors
Research topics
Artificial Intelligence
(10)
Machine Learning
(10)
Core Methods
(9)
Bayesian & Probabilistic Β· Artificial Intelligence
(7)
Core AI
(7)
Optimization & Theory
(6)
Bayesian & Probabilistic Β· Machine Learning
(4)
Knowledge & Reasoning
(3)
Mathematics & Optimization
(3)
Natural Language Processing
(3)
Applications
(3)
Learning Types
(3)
Optimization
(3)
Reasoning
(3)
Deep Learning
(2)
Keywords
markov logic network
(8)
lifted inference
(6)
first-order logic
(4)
probabilistic graphical model
(3)
graphical model
(3)
map inference
(2)
joint inference
(2)
statistical relational learning
(2)
gibbs sampling
(2)
conversational ai
(1)
markov chain monte carlo
(1)
information extraction
(1)
importance sampling
(1)
partition function
(1)
relational learning
(1)
symmetry
(1)
visual question answering
(1)
mean-field approximation
(1)
probabilistic reasoning
(1)
linear programming
(1)
Papers
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
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
Advanced Markov Logic Techniques for Scalable Joint Inference in NLP
EMNLP 2016
Joint Inference for Event Coreference Resolution
COLING 2016
Joint Inference for Mode Identification in Tutorial Dialogues
COLING 2016
An Integer Polynomial Programming Based Framework for Lifted MAP Inference
NeurIPS 2014
Lifted MAP Inference for Markov Logic Networks
AISTATS 2014
Relieving the Computational Bottleneck: Joint Inference for Event Extraction with High-Dimensional Features
EMNLP 2014
Scaling-up Importance Sampling for Markov Logic Networks
NeurIPS 2014
On Lifting the Gibbs Sampling Algorithm
NeurIPS 2012