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Generalized network recovery based on topology and optimization for real-world systems
Udit Bhatia, Lina Sela Perelman, Auroop Ratan Ganguly
Designing effective recovery strategies for damaged networked systems is critical to the resilience of built, human and natural systems. However, progress has been limited by the i…
Universal and generalizable restoration strategies for degraded ecological networks
Udit Bhatia, Tarik Gouhier, Auroop Ratan Ganguly
Humans are increasingly stressing ecosystems via habitat destruction, climate change and global population movements leading to the widespread loss of biodiversity and the disrupti…
Precipitation extremes and depth-duration-frequency under internal climate variability
Udit Bhatia, Auroop Ratan Ganguly
Natural climate variability, captured through multiple initial condition ensembles, may be comparable to the variability caused by knowledge gaps in future emissions trajectories a…
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
Thomas Vandal, Evan Kodra, Jennifer Dy +3
Deep Learning (DL) methods have been transforming computer vision with innovative adaptations to other domains including climate change. For DL to pervade Science and Engineering (…