no code implementations • 18 Mar 2022 • Ragja Palakkadavath, Sarath Sivaprasad, Shirish Karande, Niranjan Pedanekar
The approach incorporates insights and business rules from domain experts in the form of easily observable and specifiable constraints, which are used as weak supervision by a machine learning model.
no code implementations • 29 Dec 2021 • Manisha Dubey, Ragja Palakkadavath, P. K. Srijith
Therefore, we propose a novel point process model, Bayesian Neural Hawkes process (BNHP) which leverages uncertainty modelling capability of Bayesian models and generalization capability of the neural networks to model event occurrence times.