← Authors

Deepak Venugopal

14 papers · 2012–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (36) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ’Ž Century Club (14) πŸš€ Conference Pioneer

Conferences

AISTATS (3) NIPS (3) COLING (2) EMNLP (2) AAAI (1) ACL (1) IJCAI (1) UAI (1)

Top co-authors

Somdeb Sarkhel (8) Vibhav Gogate (6) Vincent Ng (3) Vibhav G Gogate (2) Parag Singla (2) Anup Shakya (1) Craig Kelly (1) Mohammad Maminur Islam (1) Chen Chen (1) Abisha Thapa Magar (1)

Keywords

markov logic network (8) lifted inference (6) first-order logic (4) probabilistic graphical model (3) graphical model (3) joint inference (2) map inference (2) statistical relational learning (2) gibbs sampling (2) conversational ai (1) markov chain monte carlo (1) information extraction (1) relational learning (1) importance sampling (1) symmetry (1) coreference resolution (1) visual question answering (1) probabilistic reasoning (1) event coreference resolution (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
Joint Inference for Event Coreference Resolution COLING 2016
Advanced Markov Logic Techniques for Scalable Joint Inference in NLP EMNLP 2016
Joint Inference for Mode Identification in Tutorial Dialogues COLING 2016
Scaling-up Importance Sampling for Markov Logic Networks NIPS 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
An Integer Polynomial Programming Based Framework for Lifted MAP Inference NIPS 2014
On Lifting the Gibbs Sampling Algorithm NIPS 2012