Summary of Position: Bayesian Deep Learning Is Needed in the Age Of Large-scale Ai, by Theodore Papamarkou et al.
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AIby Theodore Papamarkou, Maria…
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AIby Theodore Papamarkou, Maria…
LTAU-FF: Loss Trajectory Analysis for Uncertainty in Atomistic Force Fieldsby Joshua A. Vita, Amit Samanta,…
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detectionby Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana,…
Approximating Optimal Morphing Attacks using Template Inversionby Laurent Colbois, Hatef Otroshi Shahreza, Sébastien MarcelFirst submitted…
MobilityDL: A Review of Deep Learning From Trajectory Databy Anita Graser, Anahid Jalali, Jasmin Lampert,…
Building Expressive and Tractable Probabilistic Generative Models: A Reviewby Sahil Sidheekh, Sriraam NatarajanFirst submitted to…
Benchmarking Transferable Adversarial Attacksby Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Huaming ChenFirst submitted to arxiv…
Vertical Symbolic Regression via Deep Policy Gradientby Nan Jiang, Md Nasim, Yexiang XueFirst submitted to…
Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiingby Yizhak Elboher, Raya Elsaleh,…
Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learningby…