Summary of Understanding the Difficulty Of Solving Cauchy Problems with Pinns, by Tao Wang et al.
Understanding the Difficulty of Solving Cauchy Problems with PINNsby Tao Wang, Bo Zhao, Sicun Gao,…
Understanding the Difficulty of Solving Cauchy Problems with PINNsby Tao Wang, Bo Zhao, Sicun Gao,…
Stochastic Multivariate Universal-Radix Finite-State Machine: a Theoretically and Practically Elegant Nonlinear Function Approximatorby Xincheng Feng,…
Three Quantization Regimes for ReLU Networksby Weigutian Ou, Philipp Schenkel, Helmut BölcskeiFirst submitted to arxiv…
Unifying and extending Precision Recall metrics for assessing generative modelsby Benjamin Sykes, Loic Simon, Julien…
An Explainable and Conformal AI Model to Detect Temporomandibular Joint Involvement in Children Suffering from…
Gradient-based Automatic Mixed Precision Quantization for Neural Networks On-Chipby Chang Sun, Thea K. Ă…rrestad, Vladimir…
M-DEW: Extending Dynamic Ensemble Weighting to Handle Missing Valuesby Adam Catto, Nan Jia, Ansaf Salleb-Aouissi,…
Graphical Reasoning: LLM-based Semi-Open Relation Extractionby Yicheng Tao, Yiqun Wang, Longju BaiFirst submitted to arxiv…
Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Surveyby Dayou Du, Gu Gong,…
Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning…