Summary of Deep Non-parametric Logistic Model with Case-control Data and External Summary Information, by Hengchao Shi et al.
Deep non-parametric logistic model with case-control data and external summary informationby Hengchao Shi, Ming Zheng,…
Summary of Gradinn: Gradient Informed Neural Network, by Filippo Aglietti et al.
GradINN: Gradient Informed Neural Networkby Filippo Aglietti, Francesco Della Santa, Andrea Piano, Virginia AgliettiFirst submitted…
Summary of Hybridization Of Persistent Homology with Neural Networks For Time-series Prediction: a Case Study in Wave Height, by Zixin Lin et al.
Hybridization of Persistent Homology with Neural Networks for Time-Series Prediction: A Case Study in Wave…
Summary of Erasure Coded Neural Network Inference Via Fisher Averaging, by Divyansh Jhunjhunwala et al.
Erasure Coded Neural Network Inference via Fisher Averagingby Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang…
Summary of Landscape-aware Automated Algorithm Configuration Using Multi-output Mixed Regression and Classification, by Fu Xing Long et al.
Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classificationby Fu Xing Long, Moritz Frenzel,…
Summary of Forecasting Infectious Disease Prevalence with Associated Uncertainty Using Neural Networks, by Michael Morris
Forecasting infectious disease prevalence with associated uncertainty using neural networksby Michael MorrisFirst submitted to arxiv…
Summary of Adversarial Pruning: a Survey and Benchmark Of Pruning Methods For Adversarial Robustness, by Giorgio Piras et al.
Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustnessby Giorgio Piras, Maura…
Summary of Assessing the Impact Of Image Dataset Features on Privacy-preserving Machine Learning, by Lucas Lange and Maurice-maximilian Heykeroth and Erhard Rahm
Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learningby Lucas Lange, Maurice-Maximilian Heykeroth,…
Summary of Dnn-gditd: Out-of-distribution Detection Via Deep Neural Network Based Gaussian Descriptor For Imbalanced Tabular Data, by Priyanka Chudasama et al.
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based Gaussian Descriptor for Imbalanced Tabular Databy Priyanka…
Summary of Knowledge-data Fusion Oriented Traffic State Estimation: a Stochastic Physics-informed Deep Learning Approach, by Ting Wang et al.
Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approachby Ting Wang, Ye…