#differentiable-optimization News & Analysis

2 articles tagged with #differentiable-optimization. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 96/10

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CLONE: A 3DGS-Based Closed-Loop Differentiable Optimization Framework for Single-Image Normal Estimation

Researchers introduce CLONE, a 3D Gaussian Splatting-based framework that estimates surface normals from single images by creating a closed-loop differentiable optimization pathway. The method unifies discriminative and generative approaches through an image-geometry-image consistency loop, eliminating the need for explicit normal supervision while maintaining geometric accuracy and local detail.

AINeutralarXiv – CS AI · May 296/10

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CA-AC-MPC: CUDA-Accelerated Actor-Critic Model Predictive Control

Researchers have developed CA-AC-MPC, a CUDA-accelerated version of actor-critic model predictive control that dramatically reduces computational latency in training and inference. By optimizing the differentiable MPC layer through GPU acceleration, the approach maintains control performance while enabling faster execution for complex dynamical systems like autonomous drone racing.