Summary of Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learning, by Abdulaziz Alwalan et al.
Wind Estimation in Unmanned Aerial Vehicles with Causal Machine Learningby Abdulaziz Alwalan, Miguel Arana-CataniaFirst submitted…
Summary of Unaligning Everything: or Aligning Any Text to Any Image in Multimodal Models, by Shaeke Salman et al.
Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Modelsby Shaeke Salman, Md…
Summary of Benchmarking Predictive Coding Networks — Made Simple, by Luca Pinchetti and Chang Qi and Oleh Lokshyn and Gaspard Olivers and Cornelius Emde and Mufeng Tang and Amine M’charrak and Simon Frieder and Bayar Menzat and Rafal Bogacz and Thomas Lukasiewicz and Tommaso Salvatori
Benchmarking Predictive Coding Networks – Made Simpleby Luca Pinchetti, Chang Qi, Oleh Lokshyn, Gaspard Olivers,…
Summary of A Closer Look at Deep Learning Methods on Tabular Datasets, by Han-jia Ye et al.
A Closer Look at Deep Learning Methods on Tabular Datasetsby Han-Jia Ye, Si-Yang Liu, Hao-Run…
Summary of Flood Prediction Using Classical and Quantum Machine Learning Models, by Marek Grzesiak et al.
Flood Prediction Using Classical and Quantum Machine Learning Modelsby Marek Grzesiak, Param ThakkarFirst submitted to…
Summary of Distml.js: Installation-free Distributed Deep Learning Framework For Web Browsers, by Masatoshi Hidaka et al.
DistML.js: Installation-free Distributed Deep Learning Framework for Web Browsersby Masatoshi Hidaka, Tomohiro Hashimoto, Yuto Nishizawa,…
Summary of Disentangled Representations For Causal Cognition, by Filippo Torresan et al.
Disentangled Representations for Causal Cognitionby Filippo Torresan, Manuel BaltieriFirst submitted to arxiv on: 30 Jun…
Summary of Improving the Performance Of Stein Variational Inference Through Extreme Sparsification Of Physically-constrained Neural Network Models, by Govinda Anantha Padmanabha et al.
Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network modelsby…
Summary of Model-free Active Exploration in Reinforcement Learning, by Alessio Russo et al.
Model-Free Active Exploration in Reinforcement Learningby Alessio Russo, Alexandre ProutiereFirst submitted to arxiv on: 30…
Summary of Kernel Neural Operators (knos) For Scalable, Memory-efficient, Geometrically-flexible Operator Learning, by Matthew Lowery et al.
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learningby Matthew Lowery, John Turnage, Zachary…