2 citations · 5 across the 7 of their papers we have counts for
7 papers
Causal Atlases from Entropic Inference: Bayesian Networks beyond Optimal DAGs
Hazhir Aliahmadi, Irina Babayan, Greg van Anders
Data-driven causal relationship identification is pertinent to advancing understanding of complex systems both within and beyond science. Bayesian networks offer a probabilistic me…
Entropic Auto-Encoding via Implicit Free-Energy Minimization
Hazhir Aliahmadi, Irina Babayan, Greg van Anders
Despite their ubiquity, variational autoencoders (VAEs) inherently suffer from posterior collapse, a failure mode in which latent variables are effectively ignored. This failure ar…
Filters reveal emergent structure in computational morphogenesis
Hazhir Aliahmadi, Aidan Sheedy, Greg van Anders
Revolutionary advances in both manufacturing and computational morphogenesis raise critical questions about design sensitivity. Sensitivity questions are especially critical in con…
Simmering: Sufficient is better than optimal for training neural networks
Irina Babayan, Hazhir Aliahmadi, Greg van Anders
The broad range of neural network training techniques that invoke optimization but rely on ad hoc modification for validity suggests that optimization-based training is misguided.…
Transforming Design Spaces Using Pareto-Laplace Filters
Hazhir Aliahmadi, Ruben Perez, Greg van Anders
Optimization is a critical tool for addressing a broad range of human and technical problems. However, the paradox of advanced optimization techniques is that they have maximum uti…
SLO/GO Degradation-Loss Sensitivity in Climate-Human System Coupling
Sierra Cabrera, Irina Babayan, Hazhir Aliahmadi +2
The potential of extreme environmental change driven by a destabilized climate system is an alarming prospect for humanity. But the intricate, subtle ways Earth's climate couples t…
Flashpoints Signal Hidden Inherent Instabilities in Land-Use Planning
Hazhir Aliahmadi, Maeve Beckett, Sam Connolly +2
Land-use decision-making processes have a long history of producing globally pervasive systemic equity and sustainability concerns. Quantitative, optimization-based planning approa…