Summary of Improving Robustness to Corruptions with Multiplicative Weight Perturbations, by Trung Trinh et al.
Improving robustness to corruptions with multiplicative weight perturbationsby Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel…
Summary of Inference Of Sequential Patterns For Neural Message Passing in Temporal Graphs, by Jan Von Pichowski et al.
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphsby Jan von Pichowski, Vincenzo…
Summary of Forecasting with Deep Learning: Beyond Average Of Average Of Average Performance, by Vitor Cerqueira et al.
Forecasting with Deep Learning: Beyond Average of Average of Average Performanceby Vitor Cerqueira, Luis Roque,…
Summary of Towards Unlocking the Mystery Of Adversarial Fragility Of Neural Networks, by Jingchao Gao et al.
Towards unlocking the mystery of adversarial fragility of neural networksby Jingchao Gao, Raghu Mudumbai, Xiaodong…
Summary of Zero-inflated Tweedie Boosted Trees with Catboost For Insurance Loss Analytics, by Banghee So and Emiliano A. Valdez
Zero-Inflated Tweedie Boosted Trees with CatBoost for Insurance Loss Analyticsby Banghee So, Emiliano A. ValdezFirst…
Summary of Provable Statistical Rates For Consistency Diffusion Models, by Zehao Dou et al.
Provable Statistical Rates for Consistency Diffusion Modelsby Zehao Dou, Minshuo Chen, Mengdi Wang, Zhuoran YangFirst…
Summary of Trace Is the Next Autodiff: Generative Optimization with Rich Feedback, Execution Traces, and Llms, by Ching-an Cheng et al.
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMsby Ching-An…
Summary of Vicatmix: Variational Bayesian Clustering and Variable Selection For Discrete Biomedical Data, by Paul D. W. Kirk and Jackie Rao
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical databy Paul D. W. Kirk,…
Summary of F-fomaml: Gnn-enhanced Meta-learning For Peak Period Demand Forecasting with Proxy Data, by Zexing Xu et al.
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Databy Zexing Xu, Linjun Zhang,…
Summary of Learning Run-time Safety Monitors For Machine Learning Components, by Ozan Vardal and Richard Hawkins and Colin Paterson and Chiara Picardi and Daniel Omeiza and Lars Kunze and Ibrahim Habli
Learning Run-time Safety Monitors for Machine Learning Componentsby Ozan Vardal, Richard Hawkins, Colin Paterson, Chiara…