ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysisby Mingyue Cheng, Jiqian…
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detectionby Sam Dauncey,…
Normalizing Flow-based Differentiable Particle Filtersby Xiongjie Chen, Yunpeng LiFirst submitted to arxiv on: 3 Mar…
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Networkby Renjie…
Revisiting Dynamic Evaluation: Online Adaptation for Large Language Modelsby Amal Rannen-Triki, Jorg Bornschein, Razvan Pascanu,…
Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely…
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Modelsby Iakovos Evdaimon, Giannis Nikolentzos, Christos…
Quantized Hierarchical Federated Learning: A Robust Approach to Statistical Heterogeneityby Seyed Mohammad Azimi-Abarghouyi, Viktoria FodorFirst…
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigationby Shiqi Chen, Miao Xiong,…
Transformers for Supervised Online Continual Learningby Jorg Bornschein, Yazhe Li, Amal Rannen-TrikiFirst submitted to arxiv…