Where did Carla Pedro Gomes earn her PhD in computer science?
University of Edinburgh
Stefano Ermon et al.: Low-density Parity Constraints for Hashing-Based Discrete Integration. (2014) authored by Carla P. Gomes. Shufeng Kong et al.: Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. (2020) authored by Carla P. Gomes. Wenting Zhao et al.: HOT-VAE Carla P. Gomes is the author of Hot-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. (2021) and Di Chen et al.: Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning. (2020). Carla P. Gomes is the author of the book "Scaling Up Pareto Optimization for Tree Structures with Affine Transformations in the Amazon.". He also authored the book "Jinzhao Li et al.: Provable Optimization of Quantal Response Leader-Follower Games with Exponentially Large Action Spaces.".. Yingheng Wang et al.: Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. (2017) authored by Carla P. Gomes. Carlos Ansótegui et al.: Generating highly balanced sudoku problems as hard problems. (2017) authored by Carla P. Gomes. Luming Tang et al.: Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder.  Carla P. Gomes is the author of Junwen Bai et al.: Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. (2021) authored by Carla P. Gomes. Marcelo Finger et al.: Solutions for Hard and Soft Constraints Using Optimized Probabilistic Satisfiability. (2013) authored by Carla P. Gomes. Di Chen et al.: Automating crystal-structure In 2022, she co-leads the Schmidt AI in Science initiative at Cornell with Fengqi You. Carla P. Gomes received the 2016 Association for the Advancement of Artificial Intelligence Classic Paper Award for their 1998 paper Boosting Combinatorial Search through Randomization.
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Question: Where did Carla Pedro Gomes earn her PhD in computer science?
Context: Stefano Ermon et al.: Low-density Parity Constraints for Hashing-Based Discrete Integration. (2014) authored by Carla P. Gomes. Shufeng Kong et al.: Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation. (2020) authored by Carla P. Gomes. Wenting Zhao et al.: HOT-VAE Carla P. Gomes is the author of Hot-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. (2021) and Di Chen et al.: Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning. (2020). Carla P. Gomes is the author of the book "Scaling Up Pareto Optimization for Tree Structures with Affine Transformations in the Amazon.". He also authored the book "Jinzhao Li et al.: Provable Optimization of Quantal Response Leader-Follower Games with Exponentially Large Action Spaces.".. Yingheng Wang et al.: Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. (2017) authored by Carla P. Gomes. Carlos Ansótegui et al.: Generating highly balanced sudoku problems as hard problems. (2017) authored by Carla P. Gomes. Luming Tang et al.: Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder.  Carla P. Gomes is the author of Junwen Bai et al.: Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification. (2021) authored by Carla P. Gomes. Marcelo Finger et al.: Solutions for Hard and Soft Constraints Using Optimized Probabilistic Satisfiability. (2013) authored by Carla P. Gomes. Di Chen et al.: Automating crystal-structure In 2022, she co-leads the Schmidt AI in Science initiative at Cornell with Fengqi You. Carla P. Gomes received the 2016 Association for the Advancement of Artificial Intelligence Classic Paper Award for their 1998 paper Boosting Combinatorial Search through Randomization.
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