Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify…
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learningby Marvin Alles, Philip Becker-Ehmck, Patrick van…
Pruning Literals for Highly Efficient Explainability at Word Levelby Rohan Kumar Yadav, Bimal Bhattarai, Abhik…
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networksby Jhony H. Giraldo, Aref Einizade, Andjela…
Impact of Label Noise on Learning Complex Featuresby Rahul Vashisht, P. Krishna Kumar, Harsha Vardhan…
Towards Robust Federated Analytics via Differentially Private Measurements of Statistical Heterogeneityby Mary Scott, Graham Cormode,…
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Databy Aitor Martinez-Seras, Javier Del…
Interpreting the Learned Model in MuZero Planningby Hung Guei, Yan-Ru Ju, Wei-Yu Chen, Ti-Rong WuFirst…
The Impact of Semi-Supervised Learning on Line Segment Detectionby Johanna Engman, Karl Åström, Magnus OskarssonFirst…
Cybercrime Prediction via Geographically Weighted Learningby Muhammad Al-Zafar Khan, Jamal Al-Karaki, Emad MahafzahFirst submitted to…