Summary of Kolmogorov-arnold Network For Online Reinforcement Learning, by Victor Augusto Kich et al.
Kolmogorov-Arnold Network for Online Reinforcement Learningby Victor Augusto Kich, Jair Augusto Bottega, Raul Steinmetz, Ricardo…
Summary of Unveiling the Power Of Sparse Neural Networks For Feature Selection, by Zahra Atashgahi et al.
Unveiling the Power of Sparse Neural Networks for Feature Selectionby Zahra Atashgahi, Tennison Liu, Mykola…
Summary of Deeploy: Enabling Energy-efficient Deployment Of Small Language Models on Heterogeneous Microcontrollers, by Moritz Scherer et al.
Deeploy: Enabling Energy-Efficient Deployment of Small Language Models On Heterogeneous Microcontrollersby Moritz Scherer, Luka Macan,…
Summary of Bayes-optimal Learning Of An Extensive-width Neural Network From Quadratically Many Samples, by Antoine Maillard et al.
Bayes-optimal learning of an extensive-width neural network from quadratically many samplesby Antoine Maillard, Emanuele Troiani,…
Summary of Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling, by Jian Xu et al.
Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Samplingby Jian Xu, Zhiqi…
Summary of Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processes, by Amin Yousefpour et al.
Simultaneous and Meshfree Topology Optimization with Physics-informed Gaussian Processesby Amin Yousefpour, Shirin Hosseinmardi, Carlos Mora,…
Summary of Malicious Internet Entity Detection Using Local Graph Inference, by Simon Mandlik et al.
Malicious Internet Entity Detection Using Local Graph Inferenceby Simon Mandlik, Tomas Pevny, Vaclav Smidl, Lukas…
Summary of Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Theory Perspective, by Taeyoung Kim et al.
Why Rectified Power Unit Networks Fail and How to Improve It: An Effective Theory Perspectiveby…
Summary of Applications Of Scientific Machine Learning For the Analysis Of Functionally Graded Porous Beams, by Mohammad Sadegh Eshaghi et al.
Applications of Scientific Machine Learning for the Analysis of Functionally Graded Porous Beamsby Mohammad Sadegh…
Summary of Deciphering Air Travel Disruptions: a Machine Learning Approach, by Aravinda Jatavallabha et al.
Deciphering Air Travel Disruptions: A Machine Learning Approachby Aravinda Jatavallabha, Jacob Gerlach, Aadithya NareshFirst submitted…