Summary of Learning Better Representations From Less Data For Propositional Satisfiability, by Mohamed Ghanem et al.
Learning Better Representations From Less Data For Propositional Satisfiabilityby Mohamed Ghanem, Frederik Schmitt, Julian Siber,…
Summary of Helping University Students to Choose Elective Courses by Using a Hybrid Multi-criteria Recommendation System with Genetic Optimization, By A. Esteban et al.
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with…
Summary of Rbf-pinn: Non-fourier Positional Embedding in Physics-informed Neural Networks, by Chengxi Zeng et al.
RBF-PINN: Non-Fourier Positional Embedding in Physics-Informed Neural Networksby Chengxi Zeng, Tilo Burghardt, Alberto M GambarutoFirst…
Summary of Uncertainty Quantification For Forward and Inverse Problems Of Pdes Via Latent Global Evolution, by Tailin Wu et al.
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolutionby Tailin Wu,…
Summary of Time-series Classification For Dynamic Strategies in Multi-step Forecasting, by Riku Green et al.
Time-Series Classification for Dynamic Strategies in Multi-Step Forecastingby Riku Green, Grant Stevens, Telmo de Menezes…
Summary of Selective Learning: Towards Robust Calibration with Dynamic Regularization, by Zongbo Han et al.
Selective Learning: Towards Robust Calibration with Dynamic Regularizationby Zongbo Han, Yifeng Yang, Changqing Zhang, Linjun…
Summary of Adaptive Hierarchical Certification For Segmentation Using Randomized Smoothing, by Alaa Anani et al.
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothingby Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario…
Summary of Loss-gat: Label Propagation and One-class Semi-supervised Graph Attention Network For Fake News Detection, by Batool Lakzaei and Mostafa Haghir Chehreghani and Alireza Bagheri
LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph Attention Network for Fake News Detectionby Batool Lakzaei,…
Summary of A Novel Approach to Regularising 1nn Classifier For Improved Generalization, by Aditya Challa et al.
A Novel Approach to Regularising 1NN classifier for Improved Generalizationby Aditya Challa, Sravan Danda, Laurent…
Summary of Transition Constrained Bayesian Optimization Via Markov Decision Processes, by Jose Pablo Folch et al.
Transition Constrained Bayesian Optimization via Markov Decision Processesby Jose Pablo Folch, Calvin Tsay, Robert M…