Summary of Efficient Probabilistic Modeling Of Crystallization at Mesoscopic Scale, by Pol Timmer et al.
Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scaleby Pol Timmer, Koen Minartz, Vlado MenkovskiFirst submitted…
Summary of Rewarded Region Replay (r3) For Policy Learning with Discrete Action Space, by Bangzheng Li et al.
Rewarded Region Replay (R3) for Policy Learning with Discrete Action Spaceby Bangzheng Li, Ningshan Ma,…
Summary of When Does Compositional Structure Yield Compositional Generalization? a Kernel Theory, by Samuel Lippl et al.
When does compositional structure yield compositional generalization? A kernel theoryby Samuel Lippl, Kim StachenfeldFirst submitted…
Summary of Daily Physical Activity Monitoring — Adaptive Learning From Multi-source Motion Sensor Data, by Haoting Zhang et al.
Daily Physical Activity Monitoring – Adaptive Learning from Multi-source Motion Sensor Databy Haoting Zhang, Donglin…
Summary of Machine Learning in Business Process Management: a Systematic Literature Review, by Sven Weinzierl et al.
Machine learning in business process management: A systematic literature reviewby Sven Weinzierl, Sandra Zilker, Sebastian…
Summary of Tensor Attention Training: Provably Efficient Learning Of Higher-order Transformers, by Yingyu Liang et al.
Tensor Attention Training: Provably Efficient Learning of Higher-order Transformersby Yingyu Liang, Zhenmei Shi, Zhao Song,…
Summary of A Gpu-accelerated Bi-linear Admm Algorithm For Distributed Sparse Machine Learning, by Alireza Olama et al.
A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learningby Alireza Olama, Andreas Lundell, Jan…
Summary of Modellock: Locking Your Model with a Spell, by Yifeng Gao et al.
ModelLock: Locking Your Model With a Spellby Yifeng Gao, Yuhua Sun, Xingjun Ma, Zuxuan Wu,…
Summary of A Differential Equation Approach For Wasserstein Gans and Beyond, by Zachariah Malik et al.
A Differential Equation Approach for Wasserstein GANs and Beyondby Zachariah Malik, Yu-Jui HuangFirst submitted to…
Summary of Graph Neural Pde Solvers with Conservation and Similarity-equivariance, by Masanobu Horie et al.
Graph Neural PDE Solvers with Conservation and Similarity-Equivarianceby Masanobu Horie, Naoto MitsumeFirst submitted to arxiv…