ML Anthology
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Venugopal, Deepak
19 publications
UAI
2025
Reparameterizing Hybrid Markov Logic Networks to Handle Covariate-Shift in Representations
Anup Shakya
,
Abisha Thapa Magar
,
Somdeb Sarkhel
,
Deepak Venugopal
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
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
Scalable Training of Markov Logic Networks Using Approximate Counting
Somdeb Sarkhel
,
Deepak Venugopal
,
Tuan Anh Pham
,
Parag Singla
,
Vibhav Gogate
AAAI
2015
Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs
Deepak Venugopal
,
Somdeb Sarkhel
,
Vibhav Gogate
AAAI
2015
Scaling-up Inference in Markov Logic
Deepak Venugopal
NeurIPS
2014
An Integer Polynomial Programming Based Framework for Lifted MAP Inference
Somdeb Sarkhel
,
Deepak Venugopal
,
Parag Singla
,
Vibhav G Gogate
ECML-PKDD
2014
Evidence-Based Clustering for Scalable Inference in Markov Logic
Deepak Venugopal
,
Vibhav Gogate
AISTATS
2014
Lifted MAP Inference for Markov Logic Networks
Somdeb Sarkhel
,
Deepak Venugopal
,
Parag Singla
,
Vibhav Gogate
NeurIPS
2014
Scaling-up Importance Sampling for Markov Logic Networks
Deepak Venugopal
,
Vibhav G Gogate
UAI
2013
Dynamic Blocking and Collapsing for Gibbs Sampling
Deepak Venugopal
,
Vibhav Gogate
AAAI
2013
GiSS: Combining Gibbs Sampling and SampleSearch for Inference in Mixed Probabilistic and Deterministic Graphical Models
Deepak Venugopal
,
Vibhav Gogate
AAAI
2012
Advances in Lifted Importance Sampling
Vibhav Gogate
,
Abhay Kumar Jha
,
Deepak Venugopal
NeurIPS
2012
On Lifting the Gibbs Sampling Algorithm
Deepak Venugopal
,
Vibhav Gogate