thegradient.pubの競合サイトトップ10

distill.pub

Understanding the building blocks and design choices of graph neural networks.

maartengrootendorst.com

my personal website

geometricdeeplearning.com

Grids, Groups, Graphs, Geodesics, and Gauges

lakera.ai

Discover how Lakera protects your AI from coercive inputs that hijack instructions, expose data, or break compliance.

dataroots.io

Watch our experts share our views on : * What type of data do we currently work with? * How are the AI use cases evolving? * How much time does it take to leverage value from AI/data? * What has been the biggest evolution in infrastructure to support the AI cases * Where is the market in terms of AI adoption and maturity? * What is the role of the EU citizens, how are they included in AI projects/development?

mh.bmj.com

Medical Humanities publishes original interdisciplinary studies on the history of medicine, cultures of medicine, disability, gender, bioethics & medical education.

jasss.org

by J Jumadi, Nick Malleson, Steve Carver and Duncan Quincey

weber.seas.harvard.edu

A paper led by Zak Shumaylov and Peter Zaika (both at the University of Cambridge, UK) will be presented at ICLR 2025. Z Shumaylov, P Zaika, J Rowbottom, F Sherry, M Weber, and CB Schönlieb. Lie algebra canonicalization: Equivariant neural operators underarbitrary Lie groups ICLR 2025 This paper introduces LieLAC, a canonicalization approach for enforcing equivariance in neural...

gokul.dev

We present a general theoretical framework for designing efficient algorithms for interactive imitation learning. We leverage this framework to derive novel inverse reinforcement learning algorithms (one model-free, one model-based), both of which come with strong performance guarantees and compare favorably to multiple baselines across a wide set of continuous control environments.