Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. (arXiv:2312.00852v1 [cs.LG]) http://arxiv.org/abs/2312.00852
A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis. (arXiv:2312.00854v1 [physics.med-ph]) http://arxiv.org/abs/2312.00854
Nash Learning from Human Feedback. (arXiv:2312.00886v1 [stat.ML]) http://arxiv.org/abs/2312.00886
Identification and Inference for Synthetic Controls with Confounding. (arXiv:2312.00955v1 [econ.EM]) http://arxiv.org/abs/2312.00955
Spatiotemporal Transformer for Imputing Sparse Data: A Deep Learning Approach. (arXiv:2312.00963v1 [cs.LG]) http://arxiv.org/abs/2312.00963
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. (arXiv:2312.00991v1 [stat.ML]) http://arxiv.org/abs/2312.00991
Second-Order Uncertainty Quantification: A Distance-Based Approach. (arXiv:2312.00995v1 [cs.LG]) http://arxiv.org/abs/2312.00995
Bagged Regularized $k$-Distances for Anomaly Detection. (arXiv:2312.01046v1 [stat.ML]) http://arxiv.org/abs/2312.01046
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems. (arXiv:2312.01127v1 [math.OC]) http://arxiv.org/abs/2312.01127
On random pairwise comparisons matrices and their geometry. (arXiv:2312.00001v1 [math.ST]) http://arxiv.org/abs/2312.00001
Revolutionizing Forensic Toolmark Analysis: An Objective and Transparent Comparison Algorithm. (arXiv:2312.00032v1 [cs.CR]) http://arxiv.org/abs/2312.00032
Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning?. (arXiv:2312.00054v1 [stat.ML]) http://arxiv.org/abs/2312.00054
Fully lifted random duality theory. (arXiv:2312.00070v1 [math.PR]) http://arxiv.org/abs/2312.00070
Studying Hopfield models via fully lifted random duality theory. (arXiv:2312.00071v1 [math.PR]) http://arxiv.org/abs/2312.00071
Binary perceptrons capacity via fully lifted random duality theory. (arXiv:2312.00073v1 [math.PR]) http://arxiv.org/abs/2312.00073
Inference using a composite-likelihood approximation for stochastic metapopulation model of disease spread. (arXiv:2312.00074v1 [q-bio.PE]) http://arxiv.org/abs/2312.00074
Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features. (arXiv:2312.00090v1 [cs.LG]) http://arxiv.org/abs/2312.00090
Sparse Projected Averaged Regression for High-Dimensional Data. (arXiv:2312.00130v1 [stat.ME]) http://arxiv.org/abs/2312.00130
Galaxy Classification: A machine learning approach for classifying shapes using numerical data. (arXiv:2312.00184v1 [cs.CV]) http://arxiv.org/abs/2312.00184
In search of the perfect fit: interpretation, flexible modelling, and the existing generalisations of the normal distribution. (arXiv:2311.17962v1 [stat.ME]) http://arxiv.org/abs/2311.17962
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