Abstract: Recent advances in diffusion models (DMs)—such as few-step denoising and multi-modal conditioning—have significantly improved computational efficiency and functional flexibility, but they ...
Abstract: Physics-informed neural networks (PINNs) incorporate physical constraints into their loss functions, allowing them to efficiently solve Partial Differential Equations (PDEs). In this work, ...
It’s tough to find a mobile casino that isn’t just a clumsy desktop site squeezed onto a phone screen. Ignition Casino is the rare exception. It feels native ...
A Python implementation of the integer L-shaped method for solving two-stage stochastic programs. Implementation is based on the algorithm outlined in [Angulo 2016], and all of the implementation is ...
🔥 We introduce a generic formulation of the exact inversion samplers, BELM. the general k-step BELM: $$\bar{\mathbf{x}}_{i-1} = \sum_{j=1}^{k} a_{i,j}\cdot \bar ...
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