Summary of Efficient Milling Quality Prediction with Explainable Machine Learning, by Dennis Gross et al.
Efficient Milling Quality Prediction with Explainable Machine Learningby Dennis Gross, Helge Spieker, Arnaud Gotlieb, Ricardo…
Summary of Spiers Memorial Lecture: How to Do Impactful Research in Artificial Intelligence For Chemistry and Materials Science, by Austin Cheng et al.
Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials…
Summary of Partial Distribution Matching Via Partial Wasserstein Adversarial Networks, by Zi-ming Wang et al.
Partial Distribution Matching via Partial Wasserstein Adversarial Networksby Zi-Ming Wang, Nan Xue, Ling Lei, Rebecka…
Summary of From Bytes to Bites: Using Country Specific Machine Learning Models to Predict Famine, by Salloni Kapoor and Simeon Sayer
From Bytes to Bites: Using Country Specific Machine Learning Models to Predict Famineby Salloni Kapoor,…
Summary of Learning Latent Wireless Dynamics From Channel State Information, by Charbel Bou Chaaya et al.
Learning Latent Wireless Dynamics from Channel State Informationby Charbel Bou Chaaya, Abanoub M. Girgis, Mehdi…
Summary of Global Lightning-ignited Wildfires Prediction and Climate Change Projections Based on Explainable Machine Learning Models, by Assaf Shmuel et al.
Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Modelsby Assaf…
Summary of Steinmetz Neural Networks For Complex-valued Data, by Shyam Venkatasubramanian et al.
Steinmetz Neural Networks for Complex-Valued Databy Shyam Venkatasubramanian, Ali Pezeshki, Vahid TarokhFirst submitted to arxiv…
Summary of A Riemannian Approach to Ground Metric Learning For Optimal Transport, by Pratik Jawanpuria et al.
A Riemannian Approach to Ground Metric Learning for Optimal Transportby Pratik Jawanpuria, Dai Shi, Bamdev…
Summary of Beyond Perceptual Distances: Rethinking Disparity Assessment For Out-of-distribution Detection with Diffusion Models, by Kun Fang et al.
Beyond Perceptual Distances: Rethinking Disparity Assessment for Out-of-Distribution Detection with Diffusion Modelsby Kun Fang, Qinghua…
Summary of A Survey Of Out-of-distribution Generalization For Graph Machine Learning From a Causal View, by Jing Ma
A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal Viewby Jing MaFirst…