Vibhav Gogate | DeepAI

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Featured Co-authors

Yu Xiang
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Parag Singla
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Eric D. Ragan
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∙ 02/01/2023

Deep Dependency Networks for Multi-Label Classification

We propose a simple approach which combines the strengths of probabilist...

0 Shivvrat Arya, et al. ∙

∙ 05/05/2020

Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition

Explainable machine learning and artificial intelligence models have bee...

10 Mahsan Nourani, et al. ∙

∙ 07/03/2018

Domain Aware Markov Logic Networks

Combining logic and probability has been a long standing goal of AI. Mar...

0 Happy Mittal, et al. ∙

∙ 07/02/2018

Lifted Marginal MAP Inference

Lifted inference reduces the complexity of inference in relational proba...

0 Vishal Sharma, et al. ∙

∙ 06/14/2018

Scalable Neural Network Compression and Pruning Using Hard Clustering and L1 Regularization

We propose a simple and easy to implement neural network compression alg...

0 Yibo Yang, et al. ∙

∙ 06/30/2016

Lifted Region-Based Belief Propagation

Due to the intractable nature of exact lifted inference, research has re...

0 David Smith, et al. ∙

∙ 01/15/2014

Join-Graph Propagation Algorithms

The paper investigates parameterized approximate message-passing schemes...

0 Robert Mateescu, et al. ∙

∙ 09/26/2013

Structured Message Passing

In this paper, we present structured message passing (SMP), a unifying f...

0 Vibhav Gogate, et al. ∙

∙ 07/11/2012

A Complete Anytime Algorithm for Treewidth

In this paper, we present a Branch and Bound algorithm called QuickBB fo...

0 Vibhav Gogate, et al. ∙

∙ 07/04/2012

Approximate Inference Algorithms for Hybrid Bayesian Networks with Discrete Constraints

In this paper, we consider Hybrid Mixed Networks (HMN) which are Hybrid ...

0 Vibhav Gogate, et al. ∙

∙ 07/04/2012

Modeling Transportation Routines using Hybrid Dynamic Mixed Networks

This paper describes a general framework called Hybrid Dynamic Mixed Net...

0 Vibhav Gogate, et al. ∙

∙ 06/13/2012

AND/OR Importance Sampling

The paper introduces AND/OR importance sampling for probabilistic graphi...

0 Vibhav Gogate, et al. ∙

∙ 03/15/2012

Formula-Based Probabilistic Inference

Computing the probability of a formula given the probabilities or weight...

0 Vibhav Gogate, et al. ∙

∙ 02/14/2012

Probabilistic Theorem Proving

Many representation schemes combining first-order logic and probability ...

0 Vibhav Gogate, et al. ∙

∙ 02/14/2012

Approximation by Quantization

Inference in graphical models consists of repeatedly multiplying and sum...

0 Vibhav Gogate, et al. ∙

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