Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learningby…
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representationby Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru…
Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Seriesby Daniele…
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labelsby Satyavrat Wagle, Seyyedali Hosseinalipour, Naji…
Map-Relative Pose Regression for Visual Re-Localizationby Shuai Chen, Tommaso Cavallari, Victor Adrian Prisacariu, Eric BrachmannFirst…
Accelerating Ensemble Error Bar Prediction with Single Models Fitsby Vidit Agrawal, Shixin Zhang, Lane E.…
Progressive Knowledge Graph Completionby Jiayi Li, Ruilin Luo, Jiaqi Sun, Jing Xiao, Yujiu YangFirst submitted…
ReffAKD: Resource-efficient Autoencoder-based Knowledge Distillationby Divyang Doshi, Jung-Eun KimFirst submitted to arxiv on: 15 Apr…
Foundational Challenges in Assuring Alignment and Safety of Large Language Modelsby Usman Anwar, Abulhair Saparov,…
Compression Represents Intelligence Linearlyby Yuzhen Huang, Jinghan Zhang, Zifei Shan, Junxian HeFirst submitted to arxiv…