Summary of Symmetries in Overparametrized Neural Networks: a Mean-field View, by Javier Maass and Joaquin Fontbona
Symmetries in Overparametrized Neural Networks: A Mean-Field Viewby Javier Maass, Joaquin FontbonaFirst submitted to arxiv…
Summary of Segment, Shuffle, and Stitch: a Simple Layer For Improving Time-series Representations, by Shivam Grover et al.
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representationsby Shivam Grover, Amin Jalali,…
Summary of Improving Smote Via Fusing Conditional Vae For Data-adaptive Noise Filtering, by Sungchul Hong et al.
Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filteringby Sungchul Hong, Seunghwan An, Jong-June…
Summary of Factor Augmented Tensor-on-tensor Neural Networks, by Guanhao Zhou et al.
Factor Augmented Tensor-on-Tensor Neural Networksby Guanhao Zhou, Yuefeng Han, Xiufan YuFirst submitted to arxiv on:…
Summary of Deep Grokking: Would Deep Neural Networks Generalize Better?, by Simin Fan et al.
Deep Grokking: Would Deep Neural Networks Generalize Better?by Simin Fan, Razvan Pascanu, Martin JaggiFirst submitted…
Summary of Weak Generative Sampler to Efficiently Sample Invariant Distribution Of Stochastic Differential Equation, by Zhiqiang Cai et al.
Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equationby Zhiqiang Cai, Yu…
Summary of Wttfnet: a Weather-time-trajectory Fusion Network For Pedestrian Trajectory Prediction in Urban Complex, by Ho Chun Wu et al.
WTTFNet: A Weather-Time-Trajectory Fusion Network for Pedestrian Trajectory Prediction in Urban Complexby Ho Chun Wu,…
Summary of Physics-aware Neural Implicit Solvers For Multiscale, Parametric Pdes with Applications in Heterogeneous Media, by Matthaios Chatzopoulos et al.
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous mediaby Matthaios Chatzopoulos,…
Summary of Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks, by Aref Einizade et al.
Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networksby Aref Einizade, Fragkiskos D. Malliaros, Jhony…
Summary of Few-shot Testing: Estimating Uncertainty Of Memristive Deep Neural Networks Using One Bayesian Test Vector, by Soyed Tuhin Ahmed et al.
Few-Shot Testing: Estimating Uncertainty of Memristive Deep Neural Networks Using One Bayesian Test Vectorby Soyed…