Carla P. Gomes
Professor
Computer Science DEPT · BCIS
347 publications
12,180 citations
51 h-index
Computer Science
Rising Papers (2)
2025-04-23 · Nature Machine Intelligence · Materials Chemistry
Optimal transport for generating transition states in chemical reactions
Carla P. GomesProfessor, Computer Science DEPT · BCIS
18 citations · 10.4x expected for field
2025-01-24 · Nature Sustainability · Aquatic Science
Towards sustainable aquaculture in the Amazon
Kathryn J. FiorellaProf Assoc, Public and Ecosystem Health DEPT · CVM
Meredith A. HolgersonProf Assoc, Ecology & Evolutionary Biology · CALS
Peter B. McIntyreProfessor, Natural Resources · CALS
Xiangtao XuProf Assoc, Ecology & Evolutionary Biology · CALS
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Alexander S. FleckerProfessor, Ecology & Evolutionary Biology · CALS
15 citations · 36.7x expected for field
Top Papers (1)
2023-08-02 · Nature · Biophysics
Scientific discovery in the age of artificial intelligence
Carla P. GomesProfessor, Computer Science DEPT · BCIS
521.1x expected for field · 1,443 citations
Recent Papers (37)
2026-03-14 · Proceedings of the AAAI Conference on Artificial Intelligence · Artificial Intelligence
Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2026-03-14 · Global and Planetary Change
Artificial Intelligence Reveals a Weaker CMIP6 Terrestrial Carbon Sink with Reduced Uncertainty
Flavio LehnerProf Asst, Earth and Atmospheric Sciences · CALS
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Ying SunProf Assoc, SIPS - Soil and Crop Sciences Section · CALS
2026-03-14 · Proceedings of the AAAI Conference on Artificial Intelligence · Computer Vision and Pattern Recognition
Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem
Frank C. SchroederProfessor, Chemistry and Chemical Biology · CAS
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2026-02-11 · Frontiers in Artificial Intelligence · Health Informatics
The future of fundamental science led by generative closed-loop artificial intelligence
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2026-01-29 · Nature and Landscape Conservation
Reconciling tradeoffs among hydropower, decarbonization, and freshwater biodiversity through carbon offsets
Peter McIntyreProfessor, Natural Resources · CALS
Carla GomesProfessor, Computer Science DEPT · BCIS
Alexander S. FleckerProfessor, Ecology & Evolutionary Biology · CALS
2026-01-07 · Underline Science Inc.
149 - Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2026-01-07 · Underline Science Inc.
Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2026-01-07 · Underline Science Inc.
Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2025-11-17 · npj Computational Materials
AlphaNet: scaling up local-frame-based neural network interatomic potentials
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2022-02-17
Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2022-02-07
Tackling Climate Change with Machine Learning
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2021-10-03
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2021-06-11
Sparse Bayesian Learning via Stepwise Regression
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2021-06-08
The Fast Kernel Transform
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Anil DamleProf Assoc, Computer Science DEPT · BCIS
2021-06-01
Materials representation and transfer learning for multi-property prediction
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2021-05-13
On the Optimality of Backward Regression: Sparse Recovery and Subset Selection
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2021-02-26
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2020-12-27
Understanding Decoupled and Early Weight Decay
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2020-10-30
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2020-10-29
Optical Identification of Materials Transformations in Oxide Thin Films
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Michael O. ThompsonProfessor, Materials Science & Engr DEPT · EN
2020-07-01
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2020-06-04
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Bart SelmanProfessor, Computer Science DEPT · BCIS
2019-10-17
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2019-07-17
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2018-07-03
End-to-End Learning for the Deep Multivariate Probit Model
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2017-09-17
Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder
Carla P. GomesProfessor, Computer Science DEPT · BCIS
2016-10-08
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Bart SelmanProfessor, Computer Science DEPT · BCIS
2015-08-17
Variable Elimination in the Fourier Domain
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Bart SelmanProfessor, Computer Science DEPT · BCIS
2014-11-27
Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Bart SelmanProfessor, Computer Science DEPT · BCIS
2013-09-26
Optimization With Parity Constraints: From Binary Codes to Discrete Integration
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Bart SelmanProfessor, Computer Science DEPT · BCIS
2013-02-27
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Bart SelmanProfessor, Computer Science DEPT · BCIS
2013-01-10
A Bayesian Approach to Tackling Hard Computational Problems
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Bart SelmanProfessor, Computer Science DEPT · BCIS
2013-01-10
A Bayesian Approach to Tackling Hard Computational Problems
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Bart SelmanProfessor, Computer Science DEPT · BCIS
2012-10-16
Uniform Solution Sampling Using a Constraint Solver As an Oracle
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Bart SelmanProfessor, Computer Science DEPT · BCIS
2012-03-15
Maximizing the Spread of Cascades Using Network Design
Carla P. GomesProfessor, Computer Science DEPT · BCIS
David B. ShmoysProfessor, Operations Research & Info Eng DEPT · EN
2012-03-15
Playing games against nature: optimal policies for renewable resource allocation
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Bart SelmanProfessor, Computer Science DEPT · BCIS
2007-02-26
Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in SAT-Based Planning
Carla P. GomesProfessor, Computer Science DEPT · BCIS
Bart SelmanProfessor, Computer Science DEPT · BCIS