Carla P. Gomes

30 papers · 2006–2026 · 5 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (56) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🌱 Topic Pioneer 🌟 Keyword Trendsetter Combo (6) 🤝 Dynamic Duo (12) 🏆 Keyword Champion 🧭 Keyword Pioneer 🚀 Conference Pioneer 🔥 Unstoppable · Silver 💎 Century Club · Bronze 🗃️ Keyword Collector (160) 🌈 Renaissance Researcher (7) 📈 Trend Setter

Venues

NeurIPS (14) AAAI (8) IJCAI (6) AISTATS (1) ICML (1)

Top co-authors

Bart Selman (12) Stefano Ermon (5) Yexiang Xue (4) Marc Grimson (4) Ashish Sabharwal (4) Joshua Fan (3) Yuanqi Du (3) Yingheng Wang (3) Di Chen (3) Dieqiao Feng (3)

Research topics

Machine Learning (20) Artificial Intelligence (15) Optimization & Theory (13) Mathematics & Optimization (12) Optimization (12) Deep Learning (11) Core AI (9) Core Methods (9) Learning Types · Machine Learning (7) Architectures (6) Bayesian & Probabilistic · Artificial Intelligence (5) Bayesian & Probabilistic · Machine Learning (5) Learning Types · Deep Learning (4) Reinforcement Learning (3) Mathematics (3)

Keywords

graph neural network (4) combinatorial optimization (4) variational inference (3) markov chain monte carlo (3) unsupervised learning (2) deep reinforcement learning (2) species distribution modeling (2) density of state (2) xor constraint (2) probabilistic inference (2) deep neural network (2) partition function (2) molecular simulation (2) graphical model (2) kolmogorov-arnold network (2) optimal transport (1) curriculum learning (1) feature learning (1) graph theory (1) feature selection (1)

Papers

LabelKAN - Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning AAAI 2026 Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond AAAI 2026 Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem AAAI 2026 Expanding Connected Components from Alternative Terminals: Global Optimization for Freshwater Fishes Under the UN's 30x30 Conservation Goal IJCAI 2025 Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance AAAI 2024 Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling NeurIPS 2024 Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon AAAI 2024 A new perspective on building efficient and expressive 3D equivariant graph neural networks NeurIPS 2023 M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery NeurIPS 2023 Unsupervised Learning for Solving the Travelling Salesman Problem NeurIPS 2023 A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction AAAI 2022 Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning NeurIPS 2022 The Fast Kernel Transform AISTATS 2022 Contrastively Disentangled Sequential Variational Autoencoder NeurIPS 2021 Sparse Bayesian Learning via Stepwise Regression ICML 2021 Towards Deeper Deep Reinforcement Learning with Spectral Normalization NeurIPS 2021 A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances NeurIPS 2020 Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant AAAI 2019 Bias Reduction via End-to-End Shift Learning: Application to Citizen Science AAAI 2019 Understanding Batch Normalization NeurIPS 2018 Deep Multi-species Embedding IJCAI 2017 XOR-Sampling for Network Design with Correlated Stochastic Events IJCAI 2017 Solving Marginal MAP Problems with NP Oracles and Parity Constraints NeurIPS 2016 Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem: Application to Materials Discovery IJCAI 2015 Crowdsourcing Backdoor Identification for Combinatorial Optimization IJCAI 2013 Double-Wheel Graphs Are Graceful IJCAI 2013 Embed and Project: Discrete Sampling with Universal Hashing NeurIPS 2013 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Accelerated Adaptive Markov Chain for Partition Function Computation NeurIPS 2011 Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NeurIPS 2006