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Varun R Embar
Varun R Embar
UC Santa Cruz
Bestätigte E-Mail-Adresse bei ucsc.edu
Titel
Zitiert von
Zitiert von
Jahr
Online topic-based social influence analysis for the wimbledon championships
VR Embar, I Bhattacharya, V Pandit, R Vaculin
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
312015
Scalable structure learning for probabilistic soft logic
V Embar, D Sridhar, G Farnadi, L Getoor
arXiv preprint arXiv:1807.00973, 2018
152018
A bayesian framework for estimating properties of network diffusions
VR Embar, RK Pasumarthi, I Bhattacharya
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
142014
Pattern clustering using cooperative game theory
S Dhamal, S Bhat, KR Anoop, VR Embar
arXiv preprint arXiv:1201.0461, 2012
132012
D-REX: Dialogue relation extraction with explanations
A Albalak, V Embar, YL Tuan, L Getoor, WY Wang
arXiv preprint arXiv:2109.05126, 2021
82021
Contrastive entity linkage: Mining variational attributes from large catalogs for entity linkage
V Embar, B Sisman, H Wei, XL Dong, C Faloutsos, L Getoor
Automated Knowledge Base Construction, 2020
72020
A comparison of statistical relational learning and graph neural networks for aggregate graph queries
V Embar, S Srinivasan, L Getoor
Machine Learning 110 (7), 1847-1866, 2021
52021
Aligning product categories using anchor products
VR Embar, G Farnadi, J Pujara, L Getoor
First Workshop on Knowledge Base Construction, Reasoning and Mining, 2018
52018
Recommending form field augmentation based upon unstructured data
PS Dayama, VR Embar, V Pandit
US Patent 10,248,639, 2019
32019
Think while you write: Hypothesis verification promotes faithful knowledge-to-text generation
Y Qiu, V Embar, SB Cohen, B Han
arXiv preprint arXiv:2311.09467, 2023
22023
DiffXtract: Joint Discriminative Product Attribute-Value Extraction
V Embar, A Kan, B Sisman, C Faloutsos, L Getoor
2021 IEEE International Conference on Big Knowledge (ICBK), 271-280, 2021
22021
Tractable marginal inference for hinge-loss markov random fields
V Embar, S Srinivasan, L Getoor
Third ICML workshop on Tractable Probabilistic Modeling, 2019
22019
Collective Bio-Entity Recognition in Scientific Documents using Hinge-Loss Markov Random Fields
A Miller, N Markenzon, V Embar, L Getoor
International Workshop on Mining and Learning with Graphs (MLG), 2020
12020
Learning explainable templated graphical models
V Embar, S Srinivasa, L Getoor
Uncertainty in Artificial Intelligence, 621-630, 2022
2022
Inferring Local and Global Properties in Knowledge Graphs
VR Embar
University of California, Santa Cruz, 2021
2021
Estimating Aggregate Properties In Relational Networks With Unobserved Data
V Embar, S Srinivasan, L Getoor
arXiv preprint arXiv:2001.05617, 2020
2020
Collective Alignment of Large-scale Ontologies
V Embar, J Pujara, L Getoor
AKBC Workshop on Federated Knowledge Bases, 2020
2020
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