Summary of Joint Scoring Rules: Zero-sum Competition Avoids Performative Prediction, by Rubi Hudson
Joint Scoring Rules: Zero-Sum Competition Avoids Performative Predictionby Rubi HudsonFirst submitted to arxiv on: 30…
Joint Scoring Rules: Zero-Sum Competition Avoids Performative Predictionby Rubi HudsonFirst submitted to arxiv on: 30…
Training Deep Neural Classifiers with Soft Diamond Regularizersby Olaoluwa Adigun, Bart KoskoFirst submitted to arxiv…
Solar Filaments Detection using Active Contours Without Edgesby Sanmoy Bandyopadhyay, Vaibhav PantFirst submitted to arxiv…
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantizationby Afsaneh Mahmoudi, Ming Xiao, Emil…
Advancing Parkinson’s Disease Progression Prediction: Comparing Long Short-Term Memory Networks and Kolmogorov-Arnold Networksby Abhinav Roy,…
Frequency-Masked Embedding Inference: A Non-Contrastive Approach for Time Series Representation Learningby En Fu, Yanyan HuFirst…
Robust Matrix Completion for Discrete Rating-Scale Databy Aurore Archimbaud, Andreas Alfons, Ines WilmsFirst submitted to…
Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regretby Emilio Jorge,…
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecastingby Huanyu Zhang, Chang Xu, Yi-Fan Zhang,…
Dual-Space Augmented Intrinsic-LoRA for Wind Turbine Segmentationby Shubh Singhal, Raül Pérez-Gonzalo, Andreas Espersen, Antonio AgudoFirst…