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Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation

Let There Be Order: Rethinking Ordering in Autoregressive Graph Generation

Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks

Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne: Discovering Novel Biological Traits From Images Using Phylogeny-Guided […]

Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling

Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne: Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling. ICML 2023: 7264-7302

Analysis of GMRES for Low-Rank and Small-Norm Perturbations of the Identity Matrix

Discontinuities of the Integrated Density of States for Laplacians Associated with Penrose and Ammann-Beenker Tilings

How Descriptive are GMRES Convergence Bounds?

A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis

Eugenia Rho

Eugenia Rho is an assistant professor in the Department of Computer Science, where she leads the SAIL (Society + AI & Language) lab, and is an affiliate faculty member at the Sanghani Center. Prior to joining Virginia Tech, she was a postdoctoral scholar at the Natural Language Processing group in the Department of Computer Science at […]

Lemara Williams

Lemara Williams was a master’s degree student in the Department of Computer Science.  Her advisor was Chris North. Her research centers around visualizing changes in projections over time.