turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
Please do not use the code from the examples in this page, but use the actual code from https://github.com/StefanSalewski/gintro/tree/master/examples. The github ...
Efficient packing of items into bins is a common daily task. Known as Bin Packing Problem, it has been intensively studied in the field of artificial intelligence, thanks to the wide interest from ...
The arrangement of organic semiconductor molecules in a material can be modulated using different supramolecular approaches, including the metal–organic framework (MOF) approach. These arrangements ...
Predicting the stability of granular materials under particle removal has wide-reaching applications, including automating tunnel excavations. Searching for general laws that govern granular stability ...
Oncogenic Ras isoforms are the subject of intense study due to the difficulty in targeting these biomedically important yet “undruggable” proteins. Recent success in covalent targeting of a Ras mutant ...
The formation of large, well-ordered crystals for crystallographic experiments remains a crucial bottleneck to the structural understanding of many important biological systems. To help alleviate this ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results