Summary of Distribution Learning For Molecular Regression, by Nima Shoghi et al.
Distribution Learning for Molecular Regressionby Nima Shoghi, Pooya Shoghi, Anuroop Sriram, Abhishek DasFirst submitted to…
Summary of Efficiently Improving Key Weather Variables Forecasting by Performing the Guided Iterative Prediction in Latent Space, By Shuangliang Li and Siwei Li
Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent spaceby…
Summary of Generative Adversarial Networks For Imputing Sparse Learning Performance, by Liang Zhang et al.
Generative Adversarial Networks for Imputing Sparse Learning Performanceby Liang Zhang, Mohammed Yeasin, Jionghao Lin, Felix…
Summary of Learning Production Functions For Supply Chains with Graph Neural Networks, by Serina Chang et al.
Learning production functions for supply chains with graph neural networksby Serina Chang, Zhiyin Lin, Benjamin…
Summary of Diffusion-driven Semantic Communication For Generative Models with Bandwidth Constraints, by Lei Guo et al.
Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraintsby Lei Guo, Wei Chen, Yuxuan Sun,…
Summary of Adaptive Training Of Grid-dependent Physics-informed Kolmogorov-arnold Networks, by Spyros Rigas et al.
Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networksby Spyros Rigas, Michalis Papachristou, Theofilos Papadopoulos, Fotios Anagnostopoulos,…
Summary of Sobolev Neural Network with Residual Weighting As a Surrogate in Linear and Non-linear Mechanics, by A.o.m. Kilicsoy et al.
Sobolev neural network with residual weighting as a surrogate in linear and non-linear mechanicsby A.O.M.…
Summary of Enhancing Gnns Performance on Combinatorial Optimization by Recurrent Feature Update, By Daria Pugacheva et al.
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Updateby Daria Pugacheva, Andrei Ermakov, Igor…
Summary of An Ad-hoc Graph Node Vector Embedding Algorithm For General Knowledge Graphs Using Kinetica-graph, by B. Kaan Karamete and Eli Glaser
An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graphby B. Kaan…
Summary of The Diversity Bonus: Learning From Dissimilar Distributed Clients in Personalized Federated Learning, by Xinghao Wu et al.
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learningby Xinghao Wu, Xuefeng…