Zobrazeno 1 - 10
of 486
pro vyhledávání: '"Schwab, David A."'
Machine learning models are often brittle under distribution shift, i.e., when data distributions at test time differ from those during training. Understanding this failure mode is central to identifying and mitigating safety risks of mass adoption o
Externí odkaz:
http://arxiv.org/abs/2409.15582
In complex ecosystems such as microbial communities, there is constant ecological and evolutionary feedback between the residing species and the environment occurring on concurrent timescales. Species respond and adapt to their surroundings by modify
Externí odkaz:
http://arxiv.org/abs/2310.08735
The random-energy model (REM), a solvable spin-glass model, has impacted an incredibly diverse set of problems, from protein folding to combinatorial optimization to many-body localization. Here, we explore a new connection to secret sharing. We form
Externí odkaz:
http://arxiv.org/abs/2309.14047
Biological systems with many components often exhibit seemingly critical behaviors, characterized by atypically large correlated fluctuations. Yet the underlying causes remain unclear. Here we define and examine two types of criticality. Intrinsic cr
Externí odkaz:
http://arxiv.org/abs/2309.13898
The information bottleneck (IB) method offers an attractive framework for understanding representation learning, however its applications are often limited by its computational intractability. Analytical characterization of the IB method is not only
Externí odkaz:
http://arxiv.org/abs/2303.17762
Avoiding overfitting is a central challenge in machine learning, yet many large neural networks readily achieve zero training loss. This puzzling contradiction necessitates new approaches to the study of overfitting. Here we quantify overfitting via
Externí odkaz:
http://arxiv.org/abs/2208.03848
Living systems are fundamentally irreversible, breaking detailed balance and establishing an arrow of time. But how does the evident arrow of time for a whole system arise from the interactions among its multiple elements? We show that the local evid
Externí odkaz:
http://arxiv.org/abs/2203.01916
We show that the evidence for a local arrow of time, which is equivalent to the entropy production in thermodynamic systems, can be decomposed. In a system with many degrees of freedom, there is a term that arises from the irreversible dynamics of th
Externí odkaz:
http://arxiv.org/abs/2112.14721
In physics we often use very simple models to describe systems with many degrees of freedom, but it is not clear why or how this success can be transferred to the more complex biological context. We consider models for the joint distribution of many
Externí odkaz:
http://arxiv.org/abs/2112.14334
Autor:
Ngampruetikorn, Vudtiwat, Sachdeva, Vedant, Torrence, Johanna, Humplik, Jan, Schwab, David J., Palmer, Stephanie E.
Publikováno v:
Phys. Rev. Research 4, 023240 (2022)
Statistical inference is central to many scientific endeavors, yet how it works remains unresolved. Answering this requires a quantitative understanding of the intrinsic interplay between statistical models, inference methods and data structure. To t
Externí odkaz:
http://arxiv.org/abs/2106.02349