Carla Gomes

Q: What Schools Are Affiliated With Carla Gomes

Carla Gomes is affiliated with the following schools: Radcliffe College, University of Lisbon, University of Edinburgh, Cornell University

Carla Gomes's AcademicInfluence.com Rankings

Carla Gomes

Computer Science

#1310

World Rank

#1354

Historical Rank

Programming

#60

World Rank

#63

Historical Rank

Artificial Intelligence

#192

World Rank

#196

Historical Rank

Machine Learning

#1662

World Rank

#1684

Historical Rank

computer-science Degrees

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Computer Science

Carla Gomes's Degrees

PhD Computer Science University of Lisbon
Masters Computer Science University of Lisbon
Bachelors Computer Science University of Lisbon

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Why Is Carla Gomes Influential?

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According to Wikipedia, Carla Pedro Gomes is a Portuguese-American computer scientist and professor at Cornell University. She is the founding Director of the Institute for Computational Sustainability and is noted for her pioneering work in developing computational methods to address challenges in sustainability. She has conducted research in a variety of areas of artificial intelligence and computer science, including constraint reasoning, mathematical optimization, and randomization techniques for exact search methods, algorithm selection, multi-agent systems, and game theory. Her work in computational sustainability includes ecological conservation, rural resource mapping, and pattern recognition for material science.

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Carla Gomes's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Boosting Combinatorial Search Through Randomization (1998) (708)
The eBird enterprise: An integrated approach to development and application of citizen science (2014) (635)
Algorithm portfolios (2001) (496)
Heavy-Tailed Phenomena in Satisfiability and Constraint Satisfaction Problems (2000) (438)
Tackling Climate Change with Machine Learning (2019) (406)
Backdoors To Typical Case Complexity (2003) (373)
Understanding Batch Normalization (2018) (359)
Satisfiability Solvers (2008) (259)
Heavy-Tailed Distributions in Combinatorial Search (1997) (193)
Generating Satisfiable Problem Instances (2000) (188)
Problem Structure in the Presence of Perturbations (1997) (161)
Theory and Applications of Satisfiability Testing - SAT 2006, 9th International Conference, Seattle, WA, USA, August 12-15, 2006, Proceedings (2006) (159)
Model Counting: A New Strategy for Obtaining Good Bounds (2006) (151)
A Bayesian Approach to Tackling Hard Computational Problems (Preliminary Report) (2001) (148)
Model Counting (2021) (145)
Dynamic restart policies (2002) (143)
Algorithm Portfolio Design: Theory vs. Practice (1997) (134)
Solving Connected Subgraph Problems in Wildlife Conservation (2010) (123)
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization (2013) (119)
Computational Sustainability: Computational methods for a sustainable environment, economy, and society (2009) (112)
Completing Quasigroups or Latin Squares: A Structured Graph Coloring Problem (2002) (110)
Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning (2019) (101)
From Sampling to Model Counting (2007) (101)
Maximizing the Spread of Cascades Using Network Design (2010) (97)
Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints (2006) (95)
Sensor networks and distributed CSP: communication, computation and complexity (2005) (93)
Balance and Filtering in Structured Satisfiable Problems (2001) (86)
The Achilles' Heel of QBF (2005) (85)
Autonomous experimentation systems for materials development: A community perspective (2021) (81)
Hill‐climbing Search (2006) (79)
Wildlife corridors as a connected subgraph problem (2012) (77)
Distributed Constraint Satisfaction in a Wireless Sensor Tracking System (2001) (71)
Randomization in Backtrack Search: Exploiting Heavy-Tailed Profiles for Solving Hard Scheduling Problems (1998) (71)
Communication and Computation in Distributed CSP Algorithms (2002) (70)
Statistical Regimes Across Constrainedness Regions (2004) (70)
Embed and Project: Discrete Sampling with Universal Hashing (2013) (64)
Low-density Parity Constraints for Hashing-Based Discrete Integration (2014) (64)
Spatially-Balanced Complete Block designs for field experiments (2007) (63)
Automated Phase Mapping with AgileFD and its Application to Light Absorber Discovery in the V-Mn-Nb Oxide System. (2016) (59)
Streamlined Constraint Reasoning (2004) (59)
Formal Models of Heavy-Tailed Behavior in Combinatorial Search (2001) (56)
On the connections between backdoors, restarts, and heavy-tailedness in combinatorial search (2003) (55)
A Human/Computer Learning Network to Improve Biodiversity Conservation and Research (2012) (54)
Integrating Systematic and Local Search Paradigms: A New Strategy for MaxSAT (2009) (52)
Uniform Solution Sampling Using a Constraint Solver As an Oracle (2012) (52)
Tradeoffs in the Complexity of Backdoor Detection (2007) (49)
Counting CSP Solutions Using Generalized XOR Constraints (2007) (49)
Computational sustainability (2011) (48)
QBF Modeling: Exploiting Player Symmetry for Simplicity and Efficiency (2006) (45)
Artificial intelligence for materials discovery (2019) (44)
SAT Encodings of State-Space Reachability Problems in Numeric Domains (2007) (44)
On the Erdős Discrepancy Problem (2014) (42)
The Cardinality Matrix Constraint (2004) (42)
Short XORs for Model Counting: From Theory to Practice (2007) (42)
The Promise of LP to Boost CSP Techniques for Combinatorial Problems (2002) (40)
Crowdsourcing Meets Ecology: Hemisphere-Wide Spatiotemporal Species Distribution Models (2014) (40)
Avicaching: A Two Stage Game for Bias Reduction in Citizen Science (2016) (40)
Structure and Randomness (2006) (39)
Constraint Reasoning and Kernel Clustering for Pattern Decomposition with Scaling (2011) (36)
An Empirical Study of Optimization for Maximizing Diffusion in Networks (2010) (34)
Optimization With Parity Constraints: From Binary Codes to Discrete Integration (2013) (33)
Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery (2014) (33)
Artificial intelligence and operations research: challenges and opportunities in planning and scheduling (2000) (33)
Upgrading Shortest Paths in Networks (2011) (32)
Connections in Networks: A Hybrid Approach (2008) (29)
Deep Multi-species Embedding (2016) (29)
Embedding System Dynamics in Agent Based Models for Complex Adaptive Systems (2011) (27)
Bayesian Classification of Flight Calls with a Novel Dynamic Time Warping Kernel (2010) (27)
eBird: A Human/Computer Learning Network for Biodiversity Conservation and Research (2012) (27)
Connections in Networks: Hardness of Feasibility Versus Optimality (2007) (27)
Randomness and Structure (2006) (27)
Backdoors to Combinatorial Optimization: Feasibility and Optimality (2009) (26)
The Challenge of Generating Spatially Balanced Scientific Experiment Designs (2004) (26)
An improved approximation algorithm for the partial latin square extension problem (2003) (25)
Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search (2009) (25)
The Steiner Multigraph Problem: Wildlife Corridor Design for Multiple Species (2011) (24)
Backdoors in the Context of Learning (2009) (24)
Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa (2015) (24)
Materials Representation and Transfer Learning for Multi-Property Prediction (2021) (23)
Computational science: Can get satisfaction (2005) (23)
CRYSTAL: a multi-agent AI system for automated mapping of materials’ crystal structures (2019) (23)
Double-Wheel Graphs Are Graceful (2013) (22)
Learning policies for battery usage optimization in electric vehicles (2012) (22)
SMT-Aided Combinatorial Materials Discovery (2012) (22)
Robust Network Design For Multispecies Conservation (2013) (22)
Capturing Structure with Satisfiability (2001) (21)
End-to-End Learning for the Deep Multivariate Probit Model (2018) (21)
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning (2020) (20)
Satisfied with Physics (2002) (20)
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model (2020) (20)
The Materials Research Platform: Defining the Requirements from User Stories (2019) (20)
Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in SAT-Based Planning (2006) (20)
Automating crystal-structure phase mapping by combining deep learning with constraint reasoning (2021) (20)
Randomized Backtrack Search (2004) (19)
Multi-component background learning automates signal detection for spectroscopic data (2019) (19)
Approximations and Randomization to Boost CSP Techniques (2004) (19)
Balance and Filtering in Structured Satisfiable Problems (Preliminary Report) (2001) (18)
Optimal Multi-Agent Scheduling with Constraint Programming (2007) (18)
Probabilistic planning with non-linear utility functions and worst-case guarantees (2012) (18)
Phase Mapper: Accelerating Materials Discovery with AI (2018) (17)
Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings (2021) (17)
Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery (2016) (17)
The Power of Semidefinite Programming Relaxations for MAX-SAT (2006) (17)
Crowdsourcing Backdoor Identification for Combinatorial Optimization (2013) (16)
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning (2020) (16)
Contrastively Disentangled Sequential Variational Autoencoder (2021) (16)
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant (2019) (16)
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction (2021) (16)
Autonomous synthesis of metastable materials (2021) (16)
A computational challenge problem in materials discovery: synthetic problem generator and real-world datasets (2014) (15)
Solving Marginal MAP Problems with NP Oracles and Parity Constraints (2016) (15)
Playing games against nature: optimal policies for renewable resource allocation (2010) (14)
Synthesis of schedulers for planned shutdowns of power plants (1996) (14)
On the fine structure of large search spaces (1999) (14)
Risk-Sensitive Policies for Sustainable Renewable Resource Allocation (2011) (14)
Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information (2017) (13)
Towards Deeper Deep Reinforcement Learning (2021) (13)
Streamlining Local Search for Spatially Balanced Latin Squares (2005) (13)
Efficiently Approximating the Pareto Frontier: Hydropower Dam Placement in the Amazon Basin (2018) (13)
Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder (2017) (13)
Reserve design to optimize functional connectivity and animal density (2019) (13)
Structure, Duality, and Randomization: Common Themes in AI and OR (2000) (13)
Computing the Density of States of Boolean Formulas (2010) (12)
The Impact of Network Topology on Pure Nash Equilibria in Graphical Games (2007) (12)
Solutions for Hard and Soft Constraints Using Optimized Probabilistic Satisfiability (2013) (12)
A distributed scheduling framework (1994) (12)
Deep Reasoning Networks: Thinking Fast and Slow (2019) (12)
Branch and bound algorithm selection by performance prediction (2001) (12)
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science (2018) (11)
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems: 6th International Conference, CPAIOR 2009 Pittsburgh, PA, USA, May 27-31, 2009 Proceedings (2009) (11)
Conspicuous monitoring and remote work (2020) (11)
Exploiting Runtime Variation in Complete Solvers (2021) (11)
Search strategies for hybrid search spaces (1999) (11)
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances (2021) (11)
The Impact of Balancing on Problem Hardness in a Highly Structured Domain (2006) (11)
Communication and Computation in DisCSP Algorithms (2002) (11)
On the Erd˝ os Discrepancy Problem* (2014) (10)
Regular-SAT: A many-valued approach to solving combinatorial problems (2007) (10)
Variable Elimination in the Fourier Domain (2015) (10)
Climate change may impair electricity generation and economic viability of future Amazon hydropower (2021) (10)
Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during search (2014) (10)
Relaxation Methods for Constrained Matrix Factorization Problems: Solving the Phase Mapping Problem in Materials Discovery (2017) (10)
Improving Your Chances: Boosting Citizen Science Discovery (2013) (9)
Generating highly balanced sudoku problems as hard problems (2011) (9)
From Streamlined Combinatorial Search to Efficient Constructive Procedures (2012) (9)
Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams (2021) (9)
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders (2021) (9)
Behavior Identification in Two-Stage Games for Incentivizing Citizen Science Exploration (2016) (9)
Designing Fast Absorbing Markov Chains (2014) (9)
Efficient Projection Algorithms onto the Weighted l1 Ball (2020) (8)
PLANNING IN KIDS (1995) (8)
Accelerated Adaptive Markov Chain for Partition Function Computation (2011) (7)
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation (2020) (7)
Solving Many-Valued SAT Encodings with Local Search (2002) (7)
Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance (2019) (7)
On the intersection of AI and OR (2001) (7)
The Science of Constraints∗ (2006) (7)
Practical Aspects of Algorithm Portfolio Design (1997) (7)
Polynomial Time Construction for Spatially Balanced Latin Squares (2012) (7)
Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing (2021) (7)
Computational sustainability meets materials science (2021) (7)
Learning Optimal Subsets with Implicit User Preferences (2009) (6)
A Flat Histogram Method for Computing the Density of States of Combinatorial Problems (2011) (6)
Density Propagation and Improved Bounds on the Partition Function (2012) (6)
Constraint Programming for Distributed Planning and Scheduling (2006) (6)
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision (2021) (6)
Synthesis of Power Plant Outage Schedulers. (1998) (6)
A Human Computation Framework for Boosting Combinatorial Solvers (2014) (5)
The Fast Kernel Transform (2021) (5)
Optimal Corridor Design for Grizzly Bear in the U.S. Northern Rockies (2008) (5)
Challenges in Materials Discovery - Synthetic Generator and Real Datasets (2014) (5)
Boosting Efficiency for Computing the Pareto Frontier on Tree Structured Networks (2018) (5)
Towards Deeper Deep Reinforcement Learning with Spectral Normalization (2021) (5)
Is High Variance Unavoidable in RL? A Case Study in Continuous Control (2021) (5)
Hybrid Search Strategies for Heterogeneous Search Spaces (2000) (5)
Don’t Follow the Crowd: Incentives for Directed Spatial Sampling (2017) (5)
An Efficient Relaxed Projection Method for Constrained Non-negative Matrix Factorization with Application to the Phase-Mapping Problem in Materials Science (2018) (5)
Quality of LP-Based Approximations for Highly Combinatorial Problems (2004) (5)
Heavy-Tailed Behavior and Randomization in Proof Planning (2001) (5)
Understanding Decoupled and Early Weight Decay (2020) (5)
Extending the Reach of SAT with Many-Valued Logics (2001) (5)
Challenges for Constraint Reasoning and Optimization in Computational Sustainability (2009) (4)
Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Network (2017) (4)
ABA: an assignment based algorithm for resource allocation (1996) (4)
Incorporating Economic and Ecological Information into the Optimal Design of Wildlife Corridors (2010) (4)
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification (2021) (4)
Structure and Problem Hardness: Asymmetry and DPLL Proofs in SAT-Based Planning (2005) (4)
Optical Identification of Materials Transformations in Oxide Thin Films. (2020) (4)
Exponentially-Modified Gaussian Mixture Model: Applications in Spectroscopy (2019) (4)
Evaluating Multi-label Classifiers with Noisy Labels (2021) (4)
Pareto-like Distributions in Random Binary CSP (2003) (4)
XOR-Sampling for Network Design with Correlated Stochastic Events (2017) (3)
ROMAN-An Application of Advanced Technology to Outage Management (1996) (3)
On the Optimality of Backward Regression: Sparse Recovery and Subset Selection (2021) (3)
A generative power-law search tree model (2009) (3)
Sparse Bayesian Learning via Stepwise Regression (2021) (3)
Low-Precision Reinforcement Learning (2021) (3)
Efficiently Optimizing for Dendritic Connectivity on Tree-Structured Networks in a Multi-Objective Framework (2018) (3)
Solution Techniques for Constraint Satisfaction Problems (2003) (3)
AL 2 : Learning for Active Learning (2011) (3)
Large Landscape Conservation - Synthetic and Real-World Datasets (2013) (3)
Proceedings of the 9th international conference on Theory and Applications of Satisfiability Testing (2006) (3)
Tradeoffs in Backdoors: Inconsistency Detection, Dynamic Simplification, and Preprocessing (2008) (3)
String Kernels for Complex Time-Series: Counting Targets from Sensed Movement (2014) (3)
Engaging Citizen Scientists in Data Collection for Conservation (2019) (3)
Collaborative multiagent Gaussian inference in a dynamic environment using belief propagation (2010) (3)
Computational Thinking for Material Discovery : Bridging Constraint Reasoning and Learning ∗ (2010) (2)
Extending the Capacity of 1 / f Noise Generation (2018) (2)
Introduction to special issue on computational sustainability (2011) (2)
Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem (2015) (2)
Optimal Network Design for the Spread of Cascades (2010) (2)
Achieving global coherence by exploiting conflict : a distributed framework for job shop scheduling (1992) (2)
A message passing approach to multiagent gaussian inference for dynamic processes (2011) (2)
Principles underlying the decomposition of job-shop scheduling problems (1992) (2)
Characterizing the Loss Landscape in Non-Negative Matrix Factorization (2021) (2)
Productive Spillovers of the Take-up of Index-Based Livestock Insurance (2014) (2)
Imitation Refinement for X-ray Diffraction Signal Processing (2019) (2)
Deep Reasoning Networks: Thinking Fast and Slow, for Pattern De-mixing (2019) (2)
An improvement performance guarantee for the partial latin square problem (2002) (2)
AAAI 2000 Workshop Reports (2001) (2)
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction (2023) (1)
LP as a Global Search Heuristic Across Different Constrainedness Regions (2005) (1)
Incorporating Computational Sustainability into AI Education through a Freely-Available, Collectively-Composed Supplementary Lab Text (2012) (1)
Structure and PhaseTransition Phenomenain the VTC Problem (2001) (1)
Materials Discovery : New Opportunities at the Intersection of Constraint Reasoning and Learning ∗ (2012) (1)
Modularity and Complexity Profiles in Overconstrained Resource Allocation Problems (2002) (1)
Keynotes: Computational sustainability (2017) (1)
Using uncertainty within computation : papers from the 2001 AAAI Fall Symposium, November 2-4, North Falmouth, Massachusetts (2001) (1)
Learning policies for battery usage optimization in electric vehicles (2013) (1)
Randomization and Restarts in Proof Planning (2014) (1)
HEAVY TAILS, PHASE TRANSITIONS, AND THE NATURE OF CUTOFF (2002) (1)
Intelligent Information Systems Institute (2004) (1)
Uncovering Hidden Structure through Parallel Problem Decomposition (2014) (1)
Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings (2022) (1)
Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during search (2014) (1)
Tradeoffs in the Complexity of Backdoor Detection for Combinatorial Problems (1)
Computational Sustainability: Editorial Introduction to the Summer and Fall Issues (2014) (1)
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation (2022) (1)
Materials structure–property factorization for identification of synergistic phase interactions in complex solar fuels photoanodes (2022) (1)
Chapter 18 APPROXIMATION ALGORITHMS (2006) (1)
Proceedings of the AI for an Intelligent Planet (2011) (1)
A transformational approach applied to outage management of nuclear power plants (1997) (1)
Game Playing Techniques for Optimization Under Uncertainty (2010) (1)
End-to-End Refinement Guided by Pre-trained Prototypical Classifier (2018) (1)
AAAI 2002 Fall Symposium Series Reports (2002) (1)
AI for Advancing Scientific Discovery for a Sustainable Future (2020) (1)
Task-Based Learning via Task-Oriented Prediction Network (2019) (1)
Computer science. Satisfied with physics. (2002) (1)
Chapter 12 COMMUNICATION AND COMPUTATION IN DISTRIBUTED CSP ALGORITHMS (2003) (1)
Grid-based SensorDCSP (2003) (0)
Problem Structure � Backdoor Size � and Search Performance in Unsatis able CNFs A Case Study (2004) (0)
Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems (2021) (0)
A Bayesian Approach to Solving Hard Computational Problems (2016) (0)
Approximations and Randomization (2014) (0)
M ay 2 01 4 On the Erdős Discrepancy Problem * (2014) (0)
Extending the reach of complete search methods (2004) (0)
Tepper School of Business 5-2008 Connections in Networks : A Hybrid Approach (2015) (0)
Boosting Reasoning Technology Through Randomization, Structure Discovery, and Hybrid Strategies (2003) (0)
Bridging the Gap Between Theory and Practice : Structure and Randomization in Large Scale Combinatorial (2012) (0)
Sampling and Soundness: Can We Have Both? (2007) (0)
Chapter 18 Randomness and Structure (0)
Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning (2022) (0)
Technology for Planning and Scheduling UnderComplex (2007) (0)
In Search of Balance: The Challenge of Generating Balanced Latin Rectangles (2017) (0)
AAAI 2002 Workshops (2002) (0)
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13-17, 2008 (2008) (0)
Bridging the Gap Between Theory and Practice: Structure and Randomization in Large Scale Combinatorial Search (2012) (0)
Task-Based Learning. (2019) (0)
Challenges for CPAIOR in Computational Sustainability (2010) (0)
Planning CNFs with Small DPLL Proofs (2005) (0)
Compute-Intensive Methods and Hybrid Approaches for Combinatorial Problems (2002) (0)
Extending the Reach of Proof Planning by Randomization and Restart Techniques (2006) (0)
UDiscoverIt: Incentivizing Citizen Science Discovery for a Sustainable World (2016) (0)
Keynote: AI for Scientific Discovery and a Sustainable Future (2023) (0)
AAAI preface (2008) (0)
Bottleneck behavior in CNF formulas (2005) (0)
Generating Hard Satisfiable Scheduling Instances (2014) (0)
Monitoring A , While Hoping for A & B : Experimental Evidence from a Multidimensional Task ∗ Preliminary and incomplete (2016) (0)
Platform for Principled Experimentation of Hard Computational Problems (2000) (0)
Graph Value Iteration (2022) (0)
Discrete Integration by Decoding Binary Codes (2013) (0)
Human Computation for Combinatorial Materials Discovery (2012) (0)
Extending the Rea h of Proof Planning byRandomization and Restart (2001) (0)
Exploiting Stochasticity in Systematic Search: Results on a Highly Structured Domain (1997) (0)
I S H IGH V ARIANCE U NAVOIDABLE IN RL? A C ASE S TUDY IN C ONTINUOUS C ONTROL (2022) (0)
GPU-accelerated principal-agent game for scalable citizen science (2019) (0)
Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility (2021) (0)
Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net (2022) (0)
Imitation Refinement (2018) (0)
Tepper School of Business 7-2007 Counting CSP Solutions Using Generalized XOR Constraints (2015) (0)
Star-Convexity in Non-Negative Matrix Factorization (2019) (0)
Constrained Machine Learning: The Bagel Framework (2021) (0)
CLR-DRNets: Curriculum Learning with Restarts to Solve Visual Combinatorial Games (2021) (0)
Adventures in Randomized Computational Methods (2006) (0)
Unsupervised Learning for Solving the Travelling Salesman Problem (2023) (0)
Multi-resolution modelling and Pseudo-Boolean encoding of the SNAP scheduling problem (2003) (0)
Synopsis of Research Agenda (0)
Generalized Matching Pursuits for the Sparse Optimization of Separable Objectives (2022) (0)
Sparse Bayesian Learning via Stepwise Regression: Supplementary Materials (2021) (0)

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Carla Gomes's Published Works

Published Works

Other Resources About Carla Gomes

What Schools Are Affiliated With Carla Gomes?

Carla Gomes's AcademicInfluence.com Rankings