Summary of Optimistic Information Directed Sampling, by Gergely Neu et al.
Optimistic Information Directed Samplingby Gergely Neu, Matteo Papini, Ludovic SchwartzFirst submitted to arxiv on: 23…
Summary of G-repsnet: a Fast and General Construction Of Equivariant Networks For Arbitrary Matrix Groups, by Sourya Basu et al.
G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groupsby Sourya Basu,…
Summary of Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?, by Nader Asadi et al.
Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?by Nader Asadi, Mahdi Beitollahi, Yasser Khalil, Yinchuan…
Summary of Calibration Of Deep Learning Classification Models in Fnirs, by Zhihao Cao et al.
Calibration of Deep Learning Classification Models in fNIRSby Zhihao Cao, Zizhou LuoFirst submitted to arxiv…
Summary of Smoothed Graph Contrastive Learning Via Seamless Proximity Integration, by Maysam Behmanesh et al.
Smoothed Graph Contrastive Learning via Seamless Proximity Integrationby Maysam Behmanesh, Maks OvsjanikovFirst submitted to arxiv…
Summary of Classification Under Strategic Self-selection, by Guy Horowitz et al.
Classification Under Strategic Self-Selectionby Guy Horowitz, Yonatan Sommer, Moran Koren, Nir RosenfeldFirst submitted to arxiv…
Summary of Optimized Deployment Of Deep Neural Networks For Visual Pose Estimation on Nano-drones, by Matteo Risso et al.
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-dronesby Matteo Risso, Francesco…
Summary of When in Doubt, Think Slow: Iterative Reasoning with Latent Imagination, by Martin Benfeghoul et al.
When in Doubt, Think Slow: Iterative Reasoning with Latent Imaginationby Martin Benfeghoul, Umais Zahid, Qinghai…
Summary of Spatiotemporal Observer Design For Predictive Learning Of High-dimensional Data, by Tongyi Liang and Han-xiong Li
Spatiotemporal Observer Design for Predictive Learning of High-Dimensional Databy Tongyi Liang, Han-Xiong LiFirst submitted to…
Summary of Generative Modelling with Tensor Train Approximations Of Hamilton–jacobi–bellman Equations, by David Sommer et al.
Generative Modelling with Tensor Train approximations of Hamilton–Jacobi–Bellman equationsby David Sommer, Robert Gruhlke, Max Kirstein,…