Classification and regression of trajectories rendered as images via 2D Convolutional Neural Networksby Mariaclaudia Nicolai,…
Classical Statistical (In-Sample) Intuitions Don’t Generalize Well: A Note on Bias-Variance Tradeoffs, Overfitting and Moving…
In-depth Analysis of Privacy Threats in Federated Learning for Medical Databy Badhan Chandra Das, M.…
Experimental Evaluation of Machine Learning Models for Goal-oriented Customer Service Chatbot with Pipeline Architectureby Nurul…
Towards an active-learning approach to resource allocation for population-based damage prognosisby George Tsialiamanis, Keith Worden,…
Using Deep Autoregressive Models as Causal Inference Enginesby Daniel Jiwoong Im, Kevin Zhang, Nakul Verma,…
“Oh LLM, I’m Asking Thee, Please Give Me a Decision Tree”: Zero-Shot Decision Tree Induction…
Entropy, concentration, and learning: a statistical mechanics primerby Akshay BalsubramaniFirst submitted to arxiv on: 27…
Hierarchical Federated Learning with Multi-Timescale Gradient Correctionby Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang,…
Review of Digital Asset Development with Graph Neural Network Unlearningby Zara LisbonFirst submitted to arxiv…