Summary of Bridging Dynamic Factor Models and Neural Controlled Differential Equations For Nowcasting Gdp, by Seonkyu Lim et al.
Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDPby Seonkyu Lim, Jeongwhan…
Summary of Multi-intent Aware Contrastive Learning For Sequential Recommendation, by Junshu Huang et al.
Multi-intent Aware Contrastive Learning for Sequential Recommendationby Junshu Huang, Zi Long, Xianghua Fu, Yin ChenFirst…
Summary of Adaptive Sampling For Continuous Group Equivariant Neural Networks, by Berfin Inal and Gabriele Cesa
Adaptive Sampling for Continuous Group Equivariant Neural Networksby Berfin Inal, Gabriele CesaFirst submitted to arxiv…
Summary of Uncertainty and Generalizability in Foundation Models For Earth Observation, by Raul Ramos-pollan et al.
Uncertainty and Generalizability in Foundation Models for Earth Observationby Raul Ramos-Pollan, Freddie Kalaitzis, Karthick Panner…
Summary of A Hybrid Meta-learning and Multi-armed Bandit Approach For Context-specific Multi-objective Recommendation Optimization, by Tiago Cunha et al.
A Hybrid Meta-Learning and Multi-Armed Bandit Approach for Context-Specific Multi-Objective Recommendation Optimizationby Tiago Cunha, Andrea…
Summary of Uncertainty Estimation by Density Aware Evidential Deep Learning, By Taeseong Yoon and Heeyoung Kim
Uncertainty Estimation by Density Aware Evidential Deep Learningby Taeseong Yoon, Heeyoung KimFirst submitted to arxiv…
Summary of Online Network Inference From Graph-stationary Signals with Hidden Nodes, by Andrei Buciulea et al.
Online Network Inference from Graph-Stationary Signals with Hidden Nodesby Andrei Buciulea, Madeline Navarro, Samuel Rey,…
Summary of Sauc: Sparsity-aware Uncertainty Calibration For Spatiotemporal Prediction with Graph Neural Networks, by Dingyi Zhuang et al.
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networksby Dingyi Zhuang, Yuheng Bu,…
Summary of Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent, by Hikaru Umeda et al.
Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descentby Hikaru Umeda, Hideaki IidukaFirst…
Summary of Electrocardiogram Report Generation and Question Answering Via Retrieval-augmented Self-supervised Modeling, by Jialu Tang et al.
Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modelingby Jialu Tang, Tong Xia, Yuan…