Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigationby Kemal Davaslioglu, Sastry Kompella,…
Inverse Problems and Data Assimilation: A Machine Learning Approachby Eviatar Bach, Ricardo Baptista, Daniel Sanz-Alonso,…
Transparent Networks for Multivariate Time Seriesby Minkyu Kim, Suan Lee, Jinho KimFirst submitted to arxiv…
Data-Driven Approaches for Modelling Target Behaviourby Isabel Schlangen, André Brandenburger, Mengwei Sun, James R. HopgoodFirst…
Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphsby Krzysztof…
Tighter Risk Bounds for Mixtures of Expertsby Wissam Akretche, Frédéric LeBlanc, Mario MarchandFirst submitted to…
Mobility-Aware Federated Learning: Multi-Armed Bandit Based Selection in Vehicular Networkby Haoyu Tu, Lin Chen, Zuguang…
Gaussian Mixture Vector Quantization with Aggregated Categorical Posteriorby Mingyuan Yan, Jiawei Wu, Rushi Shah, Dianbo…
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspectiveby Jintang Li, Ruofan Wu, Yuchang Zhu,…
Neural Quasiprobabilistic Likelihood Ratio Estimation with Negatively Weighted Databy Matthew Drnevich, Stephen Jiggins, Judith Katzy,…