S
Srikanta Bedathur
Researcher at Indian Institute of Technology Delhi
Publications - 120
Citations - 1897
Srikanta Bedathur is an academic researcher from Indian Institute of Technology Delhi. The author has contributed to research in topics: Computer science & SPARQL. The author has an hindex of 21, co-authored 108 publications receiving 1680 citations. Previous affiliations of Srikanta Bedathur include IBM & Indraprastha Institute of Information Technology.
Papers
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Journal ArticleDOI
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
TL;DR: A novel unsupervised model and inference method for learning MTPP in presence of event sequences with missing events that outperforms the state-of-the-art MTPP frameworks for event prediction, missing data imputation, and provides stable optimization.
Book ChapterDOI
1st International Workshop on Data Assessment and Readiness for AI
Bortik Bandyopadhyay,Sambaran Bandyopadhyay,Srikanta Bedathur,Nitin Gupta,Sameep Mehta,Shashank Mujumdar,Srinivasan Parthasarathy,Hima Patel +7 more
TL;DR: In the last several years, AI/ML technologies have become pervasive in academia and industry, finding its utility in newer and challenging applications as discussed by the authors, and they have become the basis for many new and interesting applications.
Scalable Reasoning Infrastructure for Large Scale Knowledge Bases.
Proceedings ArticleDOI
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs
TL;DR: In this paper, the authors propose a system, HAPPI (How Provenance of Probabilistic Inference), to handle query processing and inference over probabilistic knowledge graphs.
Posted Content
BERT Meets Relational DB: Contextual Representations of Relational Databases.
TL;DR: In this paper, the authors address the problem of learning low-dimensional representation of entities on relational databases consisting of multiple tables and propose an attention-based model to learn embeddings for entities in the relational database.