Summary of Neural Exploratory Landscape Analysis, by Zeyuan Ma et al.
Neural Exploratory Landscape Analysisby Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao GongFirst submitted to arxiv…
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 An End-to-end Reinforcement Learning Based Approach For Micro-view Order-dispatching in Ride-hailing, by Xinlang Yue et al.
An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailingby Xinlang Yue, Yiran Liu,…
Summary of Achieving the Tightest Relaxation Of Sigmoids For Formal Verification, by Samuel Chevalier et al.
Achieving the Tightest Relaxation of Sigmoids for Formal Verificationby Samuel Chevalier, Duncan Starkenburg, Krishnamurthy DvijothamFirst…
Summary of Finding the Deepdream For Time Series: Activation Maximization For Univariate Time Series, by Udo Schlegel et al.
Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Seriesby Udo Schlegel, Daniel…
Summary of Criticality Leveraged Adversarial Training (clat) For Boosted Performance Via Parameter Efficiency, by Bhavna Gopal et al.
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiencyby Bhavna Gopal, Huanrui Yang,…
Summary of Kan 2.0: Kolmogorov-arnold Networks Meet Science, by Ziming Liu et al.
KAN 2.0: Kolmogorov-Arnold Networks Meet Scienceby Ziming Liu, Pingchuan Ma, Yixuan Wang, Wojciech Matusik, Max…
Summary of Liquid Fourier Latent Dynamics Networks For Fast Gpu-based Numerical Simulations in Computational Cardiology, by Matteo Salvador and Alison L. Marsden
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiologyby Matteo Salvador,…
Summary of Weakly Supervised Pretraining and Multi-annotator Supervised Finetuning For Facial Wrinkle Detection, by Ik Jun Moon et al.
Weakly Supervised Pretraining and Multi-Annotator Supervised Finetuning for Facial Wrinkle Detectionby Ik Jun Moon, Junho…
Summary of Clustering and Alignment: Understanding the Training Dynamics in Modular Addition, by Tiberiu Musat
Clustering and Alignment: Understanding the Training Dynamics in Modular Additionby Tiberiu MusatFirst submitted to arxiv…