DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuningby…
Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTMby Kazi Fuad Bin…
Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Networkby Abubakar Isah,…
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systemsby Adarsh Iyer, Nibodh Boddupalli, Jeff…
Adaptive multiple optimal learning factors for neural network trainingby Jeshwanth ChallagundlaFirst submitted to arxiv on:…
GKAN: Graph Kolmogorov-Arnold Networksby Mehrdad Kiamari, Mohammad Kiamari, Bhaskar KrishnamachariFirst submitted to arxiv on: 10…
Foundation Inference Models for Markov Jump Processesby David Berghaus, Kostadin Cvejoski, Patrick Seifner, Cesar Ojeda,…
DISCO: An End-to-End Bandit Framework for Personalised Discount Allocationby Jason Shuo Zhang, Benjamin Howson, Panayiota…
Efficient Neural Compression with Inference-time Decodingby C. Metz, O. Bichler, A. DupretFirst submitted to arxiv…
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approachby Georgios Tsoumplekas, Christos…