Summary of Controlling the Fidelity and Diversity Of Deep Generative Models Via Pseudo Density, by Shuangqi Li et al.
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Densityby Shuangqi Li, Chen…
Summary of Biequiformer: Bi-equivariant Representations For Global Point Cloud Registration, by Stefanos Pertigkiozoglou et al.
BiEquiFormer: Bi-Equivariant Representations for Global Point Cloud Registrationby Stefanos Pertigkiozoglou, Evangelos Chatzipantazis, Kostas DaniilidisFirst submitted…
Summary of Slrl: Structured Latent Representation Learning For Multi-view Clustering, by Zhangci Xiong et al.
SLRL: Structured Latent Representation Learning for Multi-view Clusteringby Zhangci Xiong, Meng CaoFirst submitted to arxiv…
Summary of Subgroup-specific Risk-controlled Dose Estimation in Radiotherapy, by Paul Fischer et al.
Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapyby Paul Fischer, Hannah Willms, Moritz Schneider, Daniela Thorwarth, Michael…
Summary of How Deep Is Your Guess? a Fresh Perspective on Deep Learning For Medical Time-series Imputation, by Linglong Qian et al.
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputationby…
Summary of Quantitative Evaluation Of the Saliency Map For Alzheimer’s Disease Classifier with Anatomical Segmentation, by Yihan Zhang et al.
Quantitative Evaluation of the Saliency Map for Alzheimer’s Disease Classifier with Anatomical Segmentationby Yihan Zhang,…
Summary of Causal Inference Through Multi-stage Learning and Doubly Robust Deep Neural Networks, by Yuqian Zhang and Jelena Bradic
Causal inference through multi-stage learning and doubly robust deep neural networksby Yuqian Zhang, Jelena BradicFirst…
Summary of Explainability Of Sub-field Level Crop Yield Prediction Using Remote Sensing, by Hiba Najjar et al.
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensingby Hiba Najjar, Miro Miranda, Marlon…
Summary of Non-convergence Of Adam and Other Adaptive Stochastic Gradient Descent Optimization Methods For Non-vanishing Learning Rates, by Steffen Dereich and Robin Graeber and Arnulf Jentzen
Non-convergence of Adam and other adaptive stochastic gradient descent optimization methods for non-vanishing learning ratesby…
Summary of Urban Waterlogging Detection: a Challenging Benchmark and Large-small Model Co-adapter, by Suqi Song et al.
Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapterby Suqi Song, Chenxu Zhang, Peng…