Summary of Multiscale Lubrication Simulation Based on Fourier Feature Networks with Trainable Frequency, by Yihu Tang et al.
Multiscale lubrication simulation based on fourier feature networks with trainable frequencyby Yihu Tang, Li Huang,…
Summary of Mitigating Overconfidence in Out-of-distribution Detection by Capturing Extreme Activations, By Mohammad Azizmalayeri et al.
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activationsby Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni CinàFirst…
Summary of Blind Separation Of Vibration Sources Using Deep Learning and Deconvolution, by Igor Makienko et al.
Blind Separation of Vibration Sources using Deep Learning and Deconvolutionby Igor Makienko, Michael Grebshtein, Eli…
Summary of Stochastic Reservoir Computers, by Peter J. Ehlers et al.
Stochastic Reservoir Computersby Peter J. Ehlers, Hendra I. Nurdin, Daniel SohFirst submitted to arxiv on:…
Summary of Asmr: Activation-sharing Multi-resolution Coordinate Networks For Efficient Inference, by Jason Chun Lok Li et al.
ASMR: Activation-sharing Multi-resolution Coordinate Networks For Efficient Inferenceby Jason Chun Lok Li, Steven Tin Sui…
Summary of Ffcl: Forward-forward Net with Cortical Loops, Training and Inference on Edge Without Backpropagation, by Ali Karkehabadi et al.
FFCL: Forward-Forward Net with Cortical Loops, Training and Inference on Edge Without Backpropagationby Ali Karkehabadi,…
Summary of Enhancing Transformer-based Models For Long Sequence Time Series Forecasting Via Structured Matrix, by Zhicheng Zhang et al.
Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured Matrixby Zhicheng Zhang, Yong…
Summary of Identifying Functionally Important Features with End-to-end Sparse Dictionary Learning, by Dan Braun et al.
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learningby Dan Braun, Jordan Taylor, Nicholas Goldowsky-Dill,…
Summary of Alzheimer’s Magnetic Resonance Imaging Classification Using Deep and Meta-learning Models, by Nida Nasir et al.
Alzheimer’s Magnetic Resonance Imaging Classification Using Deep and Meta-Learning Modelsby Nida Nasir, Muneeb Ahmed, Neda…
Summary of Tenns-pleiades: Building Temporal Kernels with Orthogonal Polynomials, by Yan Ru Pei et al.
TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomialsby Yan Ru Pei, Olivier CoenenFirst submitted to arxiv…