Summary of Tamed Langevin Sampling Under Weaker Conditions, by Iosif Lytras and Panayotis Mertikopoulos
Tamed Langevin sampling under weaker conditionsby Iosif Lytras, Panayotis MertikopoulosFirst submitted to arxiv on: 27…
Summary of Physics-guided Full Waveform Inversion Using Encoder-solver Convolutional Neural Networks, by Matan Goren and Eran Treister
Physics-guided Full Waveform Inversion using Encoder-Solver Convolutional Neural Networksby Matan Goren, Eran TreisterFirst submitted to…
Summary of P4: Towards Private, Personalized, and Peer-to-peer Learning, by Mohammad Mahdi Maheri et al.
P4: Towards private, personalized, and Peer-to-Peer learningby Mohammad Mahdi Maheri, Sandra Siby, Sina Abdollahi, Anastasia…
Summary of Enhancing Sustainable Urban Mobility Prediction with Telecom Data: a Spatio-temporal Framework Approach, by Chungyi Lin et al.
Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approachby ChungYi Lin, Shen-Lung…
Summary of Beyond Random Missingness: Clinically Rethinking For Healthcare Time Series Imputation, by Linglong Qian et al.
Beyond Random Missingness: Clinically Rethinking for Healthcare Time Series Imputationby Linglong Qian, Yiyuan Yang, Wenjie…
Summary of Reference Neural Operators: Learning the Smooth Dependence Of Solutions Of Pdes on Geometric Deformations, by Ze Cheng et al.
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformationsby Ze…
Summary of On Fairness Of Low-rank Adaptation Of Large Models, by Zhoujie Ding and Ken Ziyu Liu and Pura Peetathawatchai and Berivan Isik and Sanmi Koyejo
On Fairness of Low-Rank Adaptation of Large Modelsby Zhoujie Ding, Ken Ziyu Liu, Pura Peetathawatchai,…
Summary of Wash: Train Your Ensemble with Communication-efficient Weight Shuffling, Then Average, by Louis Fournier (mlia) et al.
WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Averageby Louis Fournier, Adel Nabli, Masih…
Summary of Efficient Model Compression For Hierarchical Federated Learning, by Xi Zhu et al.
Efficient Model Compression for Hierarchical Federated Learningby Xi Zhu, Songcan Yu, Junbo Wang, Qinglin YangFirst…
Summary of Locally Testing Model Detections For Semantic Global Concepts, by Franz Motzkus et al.
Locally Testing Model Detections for Semantic Global Conceptsby Franz Motzkus, Georgii Mikriukov, Christian Hellert, Ute…