72 citations · 247 across the 30 of their papers we have counts for
31 papers
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing
Vinayak Gupta, Srikanta Bedathur, Abir De
Temporal sequences have become pervasive in various real-world applications. Consequently, the volume of data generated in the form of continuous time-event sequence(s) or CTES(s)…
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection
Abir De, Soumen Chakrabarti
Submodular functions and variants, through their ability to characterize diversity and coverage, have emerged as a key tool for data selection and summarization. Many recent approa…
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks
Indradyumna Roy, Soumen Chakrabarti, Abir De
The graph retrieval problem is to search in a large corpus of graphs for ones that are most similar to a query graph. A common consideration for scoring similarity is the maximum c…
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
Vinayak Gupta, Srikanta Bedathur, Sourangshu Bhattacharya +1
A large fraction of data generated via human activities such as online purchases, health records, spatial mobility etc. can be represented as a sequence of events over a continuous…
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
Vinayak Gupta, Srikanta Bedathur, Abir De
Recent developments in predictive modeling using marked temporal point processes (MTPP) have enabled an accurate characterization of several real-world applications involving conti…
Global Convergence Using Policy Gradient Methods for Model-free Markovian Jump Linear Quadratic Control
Santanu Rathod, Manoj Bhadu, Abir De
Owing to the growth of interest in Reinforcement Learning in the last few years, gradient based policy control methods have been gaining popularity for Control problems as well. An…