Summary of Practical Aspects on Solving Differential Equations Using Deep Learning: a Primer, by Georgios Is. Detorakis
Practical Aspects on Solving Differential Equations Using Deep Learning: A Primerby Georgios Is. DetorakisFirst submitted…
Summary of Learning Randomized Algorithms with Transformers, by Johannes Von Oswald and Seijin Kobayashi and Yassir Akram and Angelika Steger
Learning Randomized Algorithms with Transformersby Johannes von Oswald, Seijin Kobayashi, Yassir Akram, Angelika StegerFirst submitted…
Summary of Interactive Counterfactual Generation For Univariate Time Series, by Udo Schlegel et al.
Interactive Counterfactual Generation for Univariate Time Seriesby Udo Schlegel, Julius Rauscher, Daniel A. KeimFirst submitted…
Summary of Security Assessment Of Hierarchical Federated Deep Learning, by D Alqattan et al.
Security Assessment of Hierarchical Federated Deep Learningby D Alqattan, R Sun, H Liang, G Nicosia,…
Summary of Inverse Deep Learning Ray Tracing For Heliostat Surface Prediction, by Jan Lewen et al.
Inverse Deep Learning Ray Tracing for Heliostat Surface Predictionby Jan Lewen, Max Pargmann, Mehdi Cherti,…
Summary of Parkinson’s Disease Classification Via Eeg: All You Need Is a Single Convolutional Layer, by Md Fahim Anjum
Parkinson’s Disease Classification via EEG: All You Need is a Single Convolutional Layerby Md Fahim…
Summary of Transfer Operator Learning with Fusion Frame, by Haoyang Jiang and Yongzhi Qu
Transfer Operator Learning with Fusion Frameby Haoyang Jiang, Yongzhi QuFirst submitted to arxiv on: 20…
Summary of Deep-macrofin: Informed Equilibrium Neural Network For Continuous Time Economic Models, by Yuntao Wu et al.
Deep-MacroFin: Informed Equilibrium Neural Network for Continuous Time Economic Modelsby Yuntao Wu, Jiayuan Guo, Goutham…
Summary of Differentially Private Stochastic Gradient Descent with Fixed-size Minibatches: Tighter Rdp Guarantees with or Without Replacement, by Jeremiah Birrell et al.
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacementby…
Summary of Comprehensive Overview Of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications, by Sinan Ibrahim et al.
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applicationsby Sinan Ibrahim, Mostafa…