Summary of Hybrid Summary Statistics, by T. Lucas Makinen et al.
Hybrid Summary Statisticsby T. Lucas Makinen, Ce Sui, Benjamin D. Wandelt, Natalia Porqueres, Alan HeavensFirst…
Summary of Parallel Digital Twin-driven Deep Reinforcement Learning For User Association and Load Balancing in Dynamic Wireless Networks, by Zhenyu Tao et al.
Parallel Digital Twin-driven Deep Reinforcement Learning for User Association and Load Balancing in Dynamic Wireless…
Summary of Mechanistic Permutability: Match Features Across Layers, by Nikita Balagansky et al.
Mechanistic Permutability: Match Features Across Layersby Nikita Balagansky, Ian Maksimov, Daniil GavrilovFirst submitted to arxiv…
Summary of Kacq-dcnn: Uncertainty-aware Interpretable Kolmogorov-arnold Classical-quantum Dual-channel Neural Network For Heart Disease Detection, by Md Abrar Jahin et al.
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detectionby Md Abrar Jahin,…
Summary of Collective Variables Of Neural Networks: Empirical Time Evolution and Scaling Laws, by Samuel Tovey et al.
Collective variables of neural networks: empirical time evolution and scaling lawsby Samuel Tovey, Sven Krippendorf,…
Summary of Mola: Enhancing Industrial Process Monitoring Using Multi-block Orthogonal Long Short-term Memory Autoencoder, by Fangyuan Ma and Cheng Ji and Jingde Wang and Wei Sun and Xun Tang and Zheyu Jiang
MOLA: Enhancing Industrial Process Monitoring Using Multi-Block Orthogonal Long Short-Term Memory Autoencoderby Fangyuan Ma, Cheng…
Summary of Similarity Learning with Neural Networks, by Gabriel Sanfins et al.
Similarity Learning with neural networksby Gabriel Sanfins, Fabio Ramos, Danilo NaiffFirst submitted to arxiv on:…
Summary of Toward Generalizable Learning Of All (linear) First-order Methods Via Memory Augmented Transformers, by Sanchayan Dutta (uc Davis) et al.
Toward generalizable learning of all (linear) first-order methods via memory augmented Transformersby Sanchayan Dutta, Suvrit…
Summary of Efficient Distribution Matching Of Representations Via Noise-injected Deep Infomax, by Ivan Butakov et al.
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMaxby Ivan Butakov, Alexander Semenenko, Alexander Tolmachev,…
Summary of Efficient Weight-space Laplace-gaussian Filtering and Smoothing For Sequential Deep Learning, by Joanna Sliwa et al.
Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learningby Joanna Sliwa, Frank Schneider, Nathanael…