Robust Image Classification in the Presence of Out-of-Distribution and Adversarial Samples Using Attractors in Neural…
Semantic Membership Inference Attack against Large Language Modelsby Hamid Mozaffari, Virendra J. MaratheFirst submitted to…
Explicit Word Density Estimation for Language Modellingby Jovan Andonov, Octavian Ganea, Paulina Grnarova, Gary Bécigneul,…
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysisby Zhang Chen, Luca…
Precipitation Nowcasting Using Physics Informed Discriminator Generative Modelsby Junzhe Yin, Cristian Meo, Ankush Roy, Zeineh…
Rule Based Learning with Dynamic (Graph) Neural Networksby Florian SeiffarthFirst submitted to arxiv on: 14…
Memory-Efficient Optimization with Factorized Hamiltonian Descentby Son Nguyen, Lizhang Chen, Bo Liu, Qiang LiuFirst submitted…
Outlier detection in maritime environments using AIS data and deep recurrent architecturesby Constantine Maganaris, Eftychios…
Improving Consistency Models with Generator-Augmented Flowsby Thibaut Issenhuth, Sangchul Lee, Ludovic Dos Santos, Jean-Yves Franceschi,…
Reinforced Decoder: Towards Training Recurrent Neural Networks for Time Series Forecastingby Qi Sima, Xinze Zhang,…