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Quantized Tensor Trains

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Stable full-field simulation of a multiscale elliptic equation by means of Quantized Tensor Trains

Announce Type: replace Abstract: In this article, we design an original solver based on Quantized Tensor Trains (QTT) for linear elliptic equations with heterogeneous coefficient field, that allows for extremely fine meshes. It can achieve full-field simulations in dimensions $d=2$ and $d=3$ with a number of Degrees of Freedom (DoFs) up to $20$ orders of magnitude beyond the classical solvers, recovering accurately the solution as well as its gradient in the $\LL^2$ norm. For treating such...

arXiv CS 2d ago

Gemma 4 QAT models: Optimizing compression for mobile and laptop efficiency

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Hacker News 5d ago

ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models

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Massive Spikes in LLMs are Bias Vectors: Mechanistic Uncovering and Spike-Free Quantization

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Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition

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AI Level of Detail: Distance-Aware ML Model Precision Selection for Real-Time Human Motion Prediction in Games

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SANA-Streaming: Real-time Streaming Video Editing with Hybrid Diffusion Transformer

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Nvidia Cosmos 3

Physical AI systems must understand the real world before they can act within it. Robots, autonomous vehicles, and smart spaces need to understand what’s happening in their world, predict what’s likely to happen next, and generate actions for specific environments, embodiments, and tasks. NVIDIA Cosmos 3 is a frontier foundation model for physical AI that combines physical reasoning, world generation, and action generation within a single open model.

Hacker News 9d ago