Summary of Differentiable Interacting Multiple Model Particle Filtering, by John-joseph Brady et al.
Differentiable Interacting Multiple Model Particle Filteringby John-Joseph Brady, Yuhui Luo, Wenwu Wang, Víctor Elvira, Yunpeng…
Summary of Stabilizing the Kumaraswamy Distribution, by Max Wasserman et al.
Stabilizing the Kumaraswamy Distributionby Max Wasserman, Gonzalo MateosFirst submitted to arxiv on: 1 Oct 2024CategoriesMain:…
Summary of Advanced Arabic Alphabet Sign Language Recognition Using Transfer Learning and Transformer Models, by Mazen Balat et al.
Advanced Arabic Alphabet Sign Language Recognition Using Transfer Learning and Transformer Modelsby Mazen Balat, Rewaa…
Summary of Beyond Minimax Rates in Group Distributionally Robust Optimization Via a Novel Notion Of Sparsity, by Quan Nguyen et al.
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsityby Quan…
Summary of Investigating the Impact Of Model Complexity in Large Language Models, by Jing Luo et al.
Investigating the Impact of Model Complexity in Large Language Modelsby Jing Luo, Huiyuan Wang, Weiran…
Summary of Contrastive Abstraction For Reinforcement Learning, by Vihang Patil et al.
Contrastive Abstraction for Reinforcement Learningby Vihang Patil, Markus Hofmarcher, Elisabeth Rumetshofer, Sepp HochreiterFirst submitted to…
Summary of Pseudo-non-linear Data Augmentation Via Energy Minimization, by Pingbang Hu et al.
Pseudo-Non-Linear Data Augmentation via Energy Minimizationby Pingbang Hu, Mahito SugiyamaFirst submitted to arxiv on: 1…
Summary of On the Geometry and Optimization Of Polynomial Convolutional Networks, by Vahid Shahverdi et al.
On the Geometry and Optimization of Polynomial Convolutional Networksby Vahid Shahverdi, Giovanni Luca Marchetti, Kathlén…
Summary of “show Me What’s Wrong!”: Combining Charts and Text to Guide Data Analysis, by Beatriz Feliciano et al.
“Show Me What’s Wrong!”: Combining Charts and Text to Guide Data Analysisby Beatriz Feliciano, Rita…
Summary of Simplified Priors For Object-centric Learning, by Vihang Patil et al.
Simplified priors for Object-Centric Learningby Vihang Patil, Andreas Radler, Daniel Klotz, Sepp HochreiterFirst submitted to…