Abstract: Adaptive dictionary learning algorithms jointly optimize sparse representations and dictionary atoms to enhance performance. However, this alternating minimization process is complex, and ...

Abstract: Adaptive dictionary learning algorithms offer enhanced performance through the joint optimization of dictionary atoms and sparse representations. However, this alternating minimization ...

Think of a REST API like a waiter in a restaurant. You (an app) tell the waiter what you want (your request), and the waiter goes to the kitchen (the server) to get it for you. REST is just a set of ...

The biggest lesson from both vibe coding and outcome-oriented work is that technology changes faster than culture.

The latest in z.ai's ongoing and continually impressive GLM series, it retains an open source MIT License — perfect for enterprise deployment – and, in one of several notable achievements, achieves a ...

Thesis: Post-hoc sparse dictionary learning (SAEs) induces a structural collapse in recovered representations. By imposing sparsity on systems trained without it, SAEs force a "classical approximation ...

Note: The project requires an NVIDIA GPU with CUDA support. The code is tested on Ubuntu 20.04 with CUDA 12.1 and PyTorch 2.3.1. Windows system is strongly ...