9 citations · 14 across the 6 of their papers we have counts for
6 papers
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
Tony Gracious, Ambedkar Dukkipati
Understanding relations arising out of interactions among entities can be very difficult, and predicting them is even more challenging. This problem has many applications in variou…
Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs
Tony Gracious, Arman Gupta, Ambedkar Dukkipati
Forecasting relations between entities is paramount in the current era of data and AI. However, it is often overlooked that real-world relationships are inherently directional, inv…
Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting
Tony Gracious, Ambedkar Dukkipati
The explosion of digital information and the growing involvement of people in social networks led to enormous research activity to develop methods that can extract meaningful infor…
CoviHawkes: Temporal Point Process and Deep Learning based Covid-19 forecasting for India
Ambedkar Dukkipati, Tony Gracious, Shubham Gupta
Lockdowns are one of the most effective measures for containing the spread of a pandemic. Unfortunately, they involve a heavy financial and emotional toll on the population that of…
Adversarial Context Aware Network Embeddings for Textual Networks
Tony Gracious, Ambedkar Dukkipati
Representation learning of textual networks poses a significant challenge as it involves capturing amalgamated information from two modalities: (i) underlying network structure, an…
Animation and Chirplet-Based Development of a PIR Sensor Array for Intruder Classification in an Outdoor Environment
Raviteja Upadrashta, Tarun Choubisa, A. Praneeth +6
This paper presents the development of a passive infra-red sensor tower platform along with a classification algorithm to distinguish between human intrusion, animal intrusion and…