Summary of Modeling Of Time-varying Wireless Communication Channel with Fading and Shadowing, by Lee Youngmin et al.
Modeling of Time-varying Wireless Communication Channel with Fading and Shadowingby Lee Youngmin, Ma Xiaomin, Lang…
Summary of Ctrl: Continuous-time Representation Learning on Temporal Heterogeneous Information Network, by Chenglin Li and Yuanzhen Xie and Chenyun Yu and Lei Cheng and Bo Hu and Zang Li and Di Niu
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Networkby Chenglin Li, Yuanzhen Xie, Chenyun Yu,…
Summary of A Galois Theorem For Machine Learning: Functions on Symmetric Matrices and Point Clouds Via Lightweight Invariant Features, by Ben Blum-smith et al.
A Galois theorem for machine learning: Functions on symmetric matrices and point clouds via lightweight…
Summary of Quick and Accurate Affordance Learning, by Fedor Scholz et al.
Quick and Accurate Affordance Learningby Fedor Scholz, Erik Ayari, Johannes Bertram, Martin V. ButzFirst submitted…
Summary of Class-wise Activation Unravelling the Engima Of Deep Double Descent, by Yufei Gu
Class-wise Activation Unravelling the Engima of Deep Double Descentby Yufei GuFirst submitted to arxiv on:…
Summary of Deephydra: Resource-efficient Time-series Anomaly Detection in Dynamically-configured Systems, by Franz Kevin Stehle et al.
DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured Systemsby Franz Kevin Stehle, Wainer Vandelli, Giuseppe Avolio,…
Summary of Reducing Spatial Discretization Error on Coarse Cfd Simulations Using An Openfoam-embedded Deep Learning Framework, by Jesus Gonzalez-sieiro et al.
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Frameworkby Jesus…
Summary of Train Faster, Perform Better: Modular Adaptive Training in Over-parameterized Models, by Yubin Shi et al.
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Modelsby Yubin Shi, Yixuan Chen, Mingzhi…
Summary of Oxygenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning, by Bin Lu et al.
OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learningby Bin Lu, Ze Zhao,…
Summary of Incorporating Anatomical Awareness For Enhanced Generalizability and Progression Prediction in Deep Learning-based Radiographic Sacroiliitis Detection, by Felix J. Dorfner et al.
Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detectionby…