Summary of Closing the Gap: Optimizing Guidance and Control Networks Through Neural Odes, by Sebastien Origer et al.
Closing the gap: Optimizing Guidance and Control Networks through Neural ODEsby Sebastien Origer, Dario IzzoFirst…
Summary of Automated Model Selection For Generalized Linear Models, by Benjamin Schwendinger et al.
Automated Model Selection for Generalized Linear Modelsby Benjamin Schwendinger, Florian Schwendinger, Laura Vana-GürFirst submitted to…
Summary of Robust Capped Lp-norm Support Vector Ordinal Regression, by Haorui Xiang et al.
Robust Capped lp-Norm Support Vector Ordinal Regressionby Haorui Xiang, Zhichang Wu, Guoxu Li, Rong Wang,…
Summary of Autogluon-multimodal (automm): Supercharging Multimodal Automl with Foundation Models, by Zhiqiang Tang et al.
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Modelsby Zhiqiang Tang, Haoyang Fang, Su Zhou, Taojiannan…
Summary of Automating the Discovery Of Partial Differential Equations in Dynamical Systems, by Weizhen Li and Rui Carvalho
Automating the Discovery of Partial Differential Equations in Dynamical Systemsby Weizhen Li, Rui CarvalhoFirst submitted…
Summary of Global Concept Explanations For Graphs by Contrastive Learning, By Jonas Teufel et al.
Global Concept Explanations for Graphs by Contrastive Learningby Jonas Teufel, Pascal FriederichFirst submitted to arxiv…
Summary of Afu: Actor-free Critic Updates in Off-policy Rl For Continuous Control, by Nicolas Perrin-gilbert
AFU: Actor-Free critic Updates in off-policy RL for continuous controlby Nicolas Perrin-GilbertFirst submitted to arxiv…
Summary of Gradformer: Graph Transformer with Exponential Decay, by Chuang Liu et al.
Gradformer: Graph Transformer with Exponential Decayby Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui…
Summary of Unifying Bayesian Flow Networks and Diffusion Models Through Stochastic Differential Equations, by Kaiwen Xue et al.
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equationsby Kaiwen Xue, Yuhao Zhou,…
Summary of Training All-mechanical Neural Networks For Task Learning Through in Situ Backpropagation, by Shuaifeng Li et al.
Training all-mechanical neural networks for task learning through in situ backpropagationby Shuaifeng Li, Xiaoming MaoFirst…