all AI news
Random walks on simplicial complexes
April 16, 2024, 4:49 a.m. | Thomas Bonis, Laurent Decreusefond, Viet Chi Tran, Zhihan Iris Zhang
stat.ML updates on arXiv.org arxiv.org
Abstract: The notion of Laplacian of a graph can be generalized to simplicial complexes and hypergraphs, and contains information on the topology of these structures. Even for a graph, the consideration of associated simplicial complexes is interesting to understand its shape. Whereas the Laplacian of a graph has a simple probabilistic interpretation as the generator of a continuous time Markov chain on the graph, things are not so direct when considering simplicial complexes. We define here …
abstract arxiv generalized graph information math.pr notion random simple stat.ml topology type
More from arxiv.org / stat.ML updates on arXiv.org
Mutual information and the encoding of contingency tables
1 day, 21 hours ago |
arxiv.org
Uniform Inference for Subsampled Moment Regression
2 days, 21 hours ago |
arxiv.org
Partial information decomposition as information bottleneck
2 days, 21 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US