Deepak Venugopal

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

Achievements

+7 more ↓

🌍 Conference Polyglot (8) 🏃 Academic Marathon (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (13)

🗺️ Taxonomy Completionist (36) 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🏆 Keyword Champion (2) 📈 Trend Setter 💎 Century Club (14) 🚀 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