Continual learning models allow them to learn and adapt to new changes and tasks over time. However, in continual and sequential learning scenarios, in which the models are trained using different ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

Dear Editor, This letter addresses the critical challenge of preserving privacy in graph learning without compromising on data utility. Differential privacy (DP) is emerging as an effective method for ...

M. Janssen et al, Deep learning inference with the Event Horizon Telescope II. The Zingularity framework for Bayesian artificial neural networks, Astronomy & Astrophysics.