🧠 Learned Codecs - matmat · Scour

What Objects Enable, Not What They Are: Functional Latent Spaces for Affordance Reasoning

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lajjadred/comfyui-lrw-nodes: ComfyUI custom nodes for Riemannian geometry and Bayesian latent space manipulation

🌀Differential Geometry Code

github.com··r/StableDiffusion

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder

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Beyond Linear and Overcomplete Regimes: A Mean-Field Analysis of Bottleneck Autoencoders

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In-Context Learning for Latent Space Bayesian Optimization

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Interpreting and Steering a Text-to-Speech Language Model with Sparse Autoencoders

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Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques

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Constructing VAE Latent Spaces with Prescribed Topology

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EEGDancer: Dynamic Emotion Latent Space Masked Modeling with Reinforcement Learning for EEG Continuous Emotion Prediction

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STREAM: Stochastic Riemannian Flow Matching with Anisotropic Decoder for Digital Histopathology Image Generation

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Mechanistic Analysis of Alignment Algorithms in Language Models

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Latent Diffusion Policy: Shaping Latent Spaces for Diffusion-Based Robotic Manipulation

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Latent Anchor-Driven Test Generation for Deep Neural Networks

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What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction

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MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer

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Conformal Disentanglement and Latent-Space Curation: A Neural Framework for Perspective Synthesis, Differentiation and Targeted Generation

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Learning Control-Affine Reduced-Order Models via Autoencoders

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Whisper Hallucination Detection and Mitigation via Hidden Representation Steering and Sparse AutoEncoders

🎙️Whisper Academic

Residual Modeling for High-Fidelity Learned Compression of Scientific Data

🧠Neural Codecs Academic

Prospective Dynamic 3D MRI Reconstruction via Latent-Space Motion Tracking from Single Measurement

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