Specie Evolution
Species evolution research explores how life forms change over time, focusing on understanding the mechanisms driving these changes and their consequences. Current research emphasizes modeling evolutionary processes using diverse approaches, including evolutionary algorithms, diffusion models conditioned on phylogenetic trees, and the application of large language models to analyze evolutionary dynamics in various contexts like social groups and scientific literature. This work is significant for advancing our understanding of biological processes, informing the design of robust artificial systems (e.g., antibodies, robots), and improving the analysis of complex systems across diverse fields.
Papers
Melody predominates over harmony in the evolution of musical scales across 96 countries
John M McBride, Elizabeth Phillips, Patrick E Savage, Steven Brown, Tsvi Tlusty
A Safety-Oriented Self-Learning Algorithm for Autonomous Driving: Evolution Starting from a Basic Model
Shuo Yang, Caojun Wang, Zhenyu Ma, Yanjun Huang, Hong Chen
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution
Mridul Khurana, Arka Daw, M. Maruf, Josef C. Uyeda, Wasila Dahdul, Caleb Charpentier, Yasin Bakış, Henry L. Bart, Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Wei-Lun Chao, Charles Stewart, Tanya Berger-Wolf, Anuj Karpatne
Interactive embodied evolution for socially adept Artificial General Creatures
Kevin Godin-Dubois, Olivier Weissl, Karine Miras, Anna V. Kononova
Information Geometry of Evolution of Neural Network Parameters While Training
Abhiram Anand Thiruthummal, Eun-jin Kim, Sergiy Shelyag
Protein pathways as a catalyst to directed evolution of the topology of artificial neural networks
Oscar Lao, Konstantinos Zacharopoulos, Apostolos Fournaris, Rossano Schifanella, Ioannis Arapakis
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning
Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich
Exploring the Evolution of Hidden Activations with Live-Update Visualization
Xianglin Yang, Jin Song Dong