5 citations · 5 across the 7 of their papers we have counts for
7 papers
Identifying Informative Environments for Cognition Parameter Inference via Bayesian Experimental Design
Manisha Dubey, Rimvydas Rubavicius, N. Siddharth +1
Computational cognitive modeling seeks to infer latent cognitive mechanisms underlying observed behavior. Bayesian inverse planning provides a principled framework for such inferen…
Towards Human Motion World Models via Executable Behaviour Representations
Rimvydas Rubavicius, Manisha Dubey, N. Siddharth +1
Human motion world models should capture motion's intentionality by being executable: adaptable to different actions and capable of assessing motion quality. To achieve this, we in…
Active Preference Learning over Latent Preference Archetypes for Many-Objective Bayesian Optimization
Manisha Dubey, Sebastiaan De Peuter, Wanrong Wang +1
Preference-based many-objective Bayesian optimization typically assumes that all pairwise comparisons arise from a single latent utility function, despite real decision makers ofte…
HyperHawkes: Hypernetwork based Neural Temporal Point Process
Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
Temporal point process serves as an essential tool for modeling time-to-event data in continuous time space. Despite having massive amounts of event sequence data from various doma…
Bayesian Neural Hawkes Process for Event Uncertainty Prediction
Manisha Dubey, Ragja Palakkadavath, P. K. Srijith
Event data consisting of time of occurrence of the events arises in several real-world applications. Recent works have introduced neural network based point processes for modeling…
Hawkes Process Classification through Discriminative Modeling of Text
Rohan Tondulkar, Manisha Dubey, P. K. Srijith +1
Social media has provided a platform for users to gather and share information and stay updated with the news. Such networks also provide a platform to users where they can engage…
HAP-SAP: Semantic Annotation in LBSNs using Latent Spatio-Temporal Hawkes Process
Manisha Dubey, P. K. Srijith, Maunendra Sankar Desarkar
The prevalence of location-based social networks (LBSNs) has eased the understanding of human mobility patterns. Knowledge of human dynamics can aid in various ways like urban plan…