Summary of A Monte Carlo Framework For Calibrated Uncertainty Estimation in Sequence Prediction, by Qidong Yang et al.
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Predictionby Qidong Yang, Weicheng Zhu,…
Summary of Solving Differential Equations with Constrained Learning, by Viggo Moro et al.
Solving Differential Equations with Constrained Learningby Viggo Moro, Luiz F. O. ChamonFirst submitted to arxiv…
Summary of Vertical Federated Learning with Missing Features During Training and Inference, by Pedro Valdeira and Shiqiang Wang and Yuejie Chi
Vertical Federated Learning with Missing Features During Training and Inferenceby Pedro Valdeira, Shiqiang Wang, Yuejie…
Summary of Hypergraph-based Multi-scale Spatio-temporal Graph Convolution Network For Time-series Anomaly Detection, by Hongyi Xu
Hypergraph-based multi-scale spatio-temporal graph convolution network for Time-Series anomaly detectionby Hongyi XuFirst submitted to arxiv…
Summary of Lipkernel: Lipschitz-bounded Convolutional Neural Networks Via Dissipative Layers, by Patricia Pauli et al.
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layersby Patricia Pauli, Ruigang Wang, Ian Manchester, Frank…
Summary of Fourier Head: Helping Large Language Models Learn Complex Probability Distributions, by Nate Gillman et al.
Fourier Head: Helping Large Language Models Learn Complex Probability Distributionsby Nate Gillman, Daksh Aggarwal, Michael…
Summary of A Machine Learning-based Secure Face Verification Scheme and Its Applications to Digital Surveillance, by Huan-chih Wang and Ja-ling Wu
A Machine Learning-Based Secure Face Verification Scheme and Its Applications to Digital Surveillanceby Huan-Chih Wang,…
Summary of Hamiltonian Monte Carlo on Relu Neural Networks Is Inefficient, by Vu C. Dinh et al.
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficientby Vu C. Dinh, Lam Si Tung…
Summary of Scgnet-stacked Convolution with Gated Recurrent Unit Network For Cyber Network Intrusion Detection and Intrusion Type Classification, by Rajana Akter et al.
SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type…
Summary of Bayesian Optimization For Hyperparameters Tuning in Neural Networks, by Gabriele Onorato
Bayesian Optimization for Hyperparameters Tuning in Neural Networksby Gabriele OnoratoFirst submitted to arxiv on: 29…