Summary of Building, Reusing, and Generalizing Abstract Representations From Concrete Sequences, by Shuchen Wu et al.
Building, Reusing, and Generalizing Abstract Representations from Concrete Sequencesby Shuchen Wu, Mirko Thalmann, Peter Dayan,…
Building, Reusing, and Generalizing Abstract Representations from Concrete Sequencesby Shuchen Wu, Mirko Thalmann, Peter Dayan,…
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networksby Pau Ferrer-Cid, Jose…
Physics-informed Partitioned Coupled Neural Operator for Complex Networksby Weidong Wu, Yong Zhang, Lili Hao, Yang…
Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicityby Eric Zhao, Tatjana Chavdarova,…
A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Databy Saptarshi Chakraborty, Peter L.…
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discoveryby Ruifeng Li, Wei…
Uncovering Capabilities of Model Pruning in Graph Contrastive Learningby Junran Wu, Xueyuan Chen, Shangzhe LiFirst…
Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentialsby Matthias Holzenkamp,…
Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Supportby…
Robust Model Evaluation over Large-scale Federated Networksby Amir Najafi, Samin Mahdizadeh Sani, Farzan FarniaFirst submitted…