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🧠 Learned Codecs

Neural Compression, Machine Learning, Rate-Distortion, Entropy Models

Release Highlights: VMRay Platform 2025.3.0
vmray.com·1d
🎬WebCodecs
Moravec's Paradox: Towards an Auditory Turing Test
arxiv.org·1d
🎼Audio Lambda Calculus
Inference-Time Techniques for High-Quality, Low-Latency Speech Generation
medium.com·4d·
Discuss: Hacker News
🎙️Whisper
Progress update for Mixreel (3D and video-to-video)
mixreel.ai·2d·
Discuss: Hacker News
🎞️FFmpeg Filters
ZeRO by hand with a 4-parameter model
dev.to·23h·
Discuss: DEV
⚡SIMD Optimization
The Unstoppable Rise of Disposable ML Frameworks
petewarden.com·12h·
Discuss: Hacker News
💻Local LLMs
Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation
arxiv.org·3d
🗂️Vector Databases
I Wanted to Learn Faster — So I Built a Voice AI Tutor with GPT-4 in a Weekend
dev.to·1d·
Discuss: DEV
🗜️LZSS Variants
Predicting Brain Responses To Natural Movies With Multimodal LLMs
arxiv.org·4d
🧠Neural Codecs
LinDeps: A Fine-tuning Free Post-Pruning Method to Remove Layer-Wise Linear Dependencies with Guaranteed Performance Preservation
arxiv.org·3d
📊Quantization
Combolutional Neural Networks
arxiv.org·3d·
Discuss: Hacker News
🎧Learned Audio
Show HN: Synapse – Multi-model AI combining LLMs and humans for marketing output
news.ycombinator.com·1d·
Discuss: Hacker News
📊Feed Optimization
MRGSEM-Sum: An Unsupervised Multi-document Summarization Framework based on Multi-Relational Graphs and Structural Entropy Minimization
arxiv.org·1d
📊Multi-vector RAG
Geometric Operator Learning with Optimal Transport
arxiv.org·4d
🌀Riemannian Computing
Meta’s AI Boss Just Called LLMs ‘Simplistic’ — Here’s What He’s Building Instead
hackernoon.com·18h
🌍Cultural Algorithms
FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks
arxiv.org·1d
📊Learned Metrics
Probing Multimodal Fusion in the Brain: The Dominance of Audiovisual Streams in Naturalistic Encoding
arxiv.org·5d
🧠Neural Codecs
Learning from Limited and Imperfect Data
arxiv.org·3d
🧠Machine Learning
Now the layoffs … later software engineers will clean the vibecoding mess
dev.to·1d·
Discuss: DEV
🔄Language Evolution
DNN-based Methods of Jointly Sensing Number and Directions of Targets via a Green Massive H2AD MIMO Receiver
arxiv.org·1d
🧠Machine Learning
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