Summary of Recursive Learning Of Asymptotic Variational Objectives, by Alessandro Mastrototaro et al.
Recursive Learning of Asymptotic Variational Objectivesby Alessandro Mastrototaro, Mathias Müller, Jimmy OlssonFirst submitted to arxiv…
Summary of Targeted Learning For Variable Importance, by Xiaohan Wang et al.
Targeted Learning for Variable Importanceby Xiaohan Wang, Yunzhe Zhou, Giles HookerFirst submitted to arxiv on:…
Summary of Differentially Private Integrated Decision Gradients (idg-dp) For Radar-based Human Activity Recognition, by Idris Zakariyya et al.
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognitionby Idris Zakariyya, Linda Tran,…
Summary of Fedmoe-da: Federated Mixture Of Experts Via Domain Aware Fine-grained Aggregation, by Ziwei Zhan et al.
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregationby Ziwei Zhan, Wenkuan Zhao, Yuanqing…
Summary of Optimizing Multi-scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-poverty Rcts, by Fucheng Warren Zhu et al.
Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to…
Summary of Elastst: Towards Robust Varied-horizon Forecasting with Elastic Time-series Transformer, by Jiawen Zhang et al.
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformerby Jiawen Zhang, Shun Zheng, Xumeng Wen,…
Summary of Uniguard: Towards Universal Safety Guardrails For Jailbreak Attacks on Multimodal Large Language Models, by Sejoon Oh et al.
UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Modelsby Sejoon Oh,…
Summary of Sparc: Spectral Architectures Tackling the Cold-start Problem in Graph Learning, by Yahel Jacobs et al.
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learningby Yahel Jacobs, Reut Dayan, Uri…
Summary of Adaptive Conformal Inference by Particle Filtering Under Hidden Markov Models, By Xiaoyi Su et al.
Adaptive Conformal Inference by Particle Filtering under Hidden Markov Modelsby Xiaoyi Su, Zhixin Zhou, Rui…
Summary of Waka: Data Attribution Using K-nearest Neighbors and Membership Privacy Principles, by Patrick Mesana et al.
WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principlesby Patrick Mesana, Clément Bénesse, Hadrien…