Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
IEEE

Boosting Adversarial Training via Fisher-Rao Norm-Based Regularization

Abstract: Adversarial training is extensively utilized to improve the adversarial robustness of deep neural networks. Yet, miti-gating the degradation of standard generalization performance in ...
IEEE

Nonconvex Low-Tubal-Rank Tensor Completion With Temporal Regularization for Spatiotemporal Traffic Data Recovery

Abstract: Spatiotemporal traffic data collected by sensor networks is paramount for intelligent transportation systems, but it often suffers from significant missing values, making accurate recovery a ...
LiveLaw

State Cannot Exploit Workers By Keeping Them In 'Perpetual Temporariness': Rajasthan High Court Orders Regularisation Of Part-Time Employee

The Rajasthan High Court directed regularization of the petitioner engaged by the State on a part-time basis, who continued ...