Summary of Evaluating the Adversarial Robustness Of Semantic Segmentation: Trying Harder Pays Off, by Levente Halmosi et al.
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Offby Levente Halmosi, Bálint Mohos,…
Summary of Exploring State Space and Reasoning by Elimination in Tsetlin Machines, By Ahmed K. Kadhim et al.
Exploring State Space and Reasoning by Elimination in Tsetlin Machinesby Ahmed K. Kadhim, Ole-Christoffer Granmo,…
Summary of Learning High-frequency Functions Made Easy with Sinusoidal Positional Encoding, by Chuanhao Sun et al.
Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encodingby Chuanhao Sun, Zhihang Yuan, Kai Xu,…
Summary of Integrating White and Black Box Techniques For Interpretable Machine Learning, by Eric M. Vernon et al.
Integrating White and Black Box Techniques for Interpretable Machine Learningby Eric M. Vernon, Naoki Masuyama,…
Summary of Procedural Content Generation Via Generative Artificial Intelligence, by Xinyu Mao et al.
Procedural Content Generation via Generative Artificial Intelligenceby Xinyu Mao, Wanli Yu, Kazunori D Yamada, Michael…
Summary of Ai-driven Guided Response For Security Operation Centers with Microsoft Copilot For Security, by Scott Freitas et al.
AI-Driven Guided Response for Security Operation Centers with Microsoft Copilot for Securityby Scott Freitas, Jovan…
Summary of Robustness Of Explainable Artificial Intelligence in Industrial Process Modelling, by Benedikt Kantz et al.
Robustness of Explainable Artificial Intelligence in Industrial Process Modellingby Benedikt Kantz, Clemens Staudinger, Christoph Feilmayr,…
Summary of Approximating G(t)/gi/1 Queues with Deep Learning, by Eliran Sherzer et al.
Approximating G(t)/GI/1 queues with deep learningby Eliran Sherzer, Opher Baron, Dmitry Krass, Yehezkel ResheffFirst submitted…
Summary of Ho-fmn: Hyperparameter Optimization For Fast Minimum-norm Attacks, by Raffaele Mura et al.
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacksby Raffaele Mura, Giuseppe Floris, Luca Scionis, Giorgio Piras,…
Summary of Generalizable Physics-informed Learning For Stochastic Safety-critical Systems, by Zhuoyuan Wang et al.
Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systemsby Zhuoyuan Wang, Albert Chern, Yorie NakahiraFirst submitted to…