213 citations · 551 across the 19 of their papers we have counts for
20 papers
Local energetic coupling enhances the expressivity of chemical computation
Marco Tuccio, Jason W. Rocks, Joshua E. Goldford
Living systems compute with chemistry by mapping environmental signals onto specific internal chemical states. Despite recent advances in molecular programming, it remains unclear…
Analog Physical Systems Can Exhibit Double Descent
Sam Dillavou, Jason W Rocks, Jacob F Wycoff +2
An important component of the success of large AI models is double descent, in which networks avoid overfitting as they grow relative to the amount of training data, instead improv…
A universal niche geometry governs the response of ecosystems to environmental perturbations
Akshit Goyal, Jason W. Rocks, Pankaj Mehta
How ecosystems respond to environmental perturbations is a fundamental question in ecology, made especially challenging due to the strong coupling between species and their environ…
Topological characterization of the continuum of allosteric response
Jason W. Rocks, Eleni Katifori, Andrea J. Liu
Allosteric regulation in proteins is often accompanied by conformational changes that facilitate transmission of mechanical signals between distant ligand binding sites. Typically,…
Phase transition to chaos in complex ecosystems with non-reciprocal species-resource interactions
Emmy Blumenthal, Jason W. Rocks, Pankaj Mehta
Non-reciprocal interactions between microscopic constituents can profoundly shape the large-scale properties of complex systems. Here, we investigate the effects of non-reciprocity…
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle
Rylan Schaeffer, Mikail Khona, Zachary Robertson +5
Double descent is a surprising phenomenon in machine learning, in which as the number of model parameters grows relative to the number of data, test error drops as models grow ever…