← Authors

Carla P. Gomes

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

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (19) 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (14) πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (5) 🀝 Dynamic Duo (12) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ† Keyword Champion πŸ’Ž Century Club (27) πŸ”₯ Unstoppable (11) πŸ—ƒοΈ Keyword Collector (52) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

NIPS (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)

Keywords

combinatorial optimization (4) graph neural network (4) markov chain monte carlo (3) variational inference (3) unsupervised learning (2) graphical model (2) deep neural network (2) probabilistic inference (2) kolmogorov-arnold network (2) deep reinforcement learning (2) molecular simulation (2) partition function (2) xor constraint (2) species distribution modeling (2) boolean satisfiability (1) optimal transport (1) curriculum learning (1) graph theory (1) feature learning (1) numerical optimization (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
Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon AAAI 2024
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance AAAI 2024
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling NIPS 2024
Unsupervised Learning for Solving the Travelling Salesman Problem NIPS 2023
M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery NIPS 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks NIPS 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 NIPS 2022
The Fast Kernel Transform AISTATS 2022
Towards Deeper Deep Reinforcement Learning with Spectral Normalization NIPS 2021
Sparse Bayesian Learning via Stepwise Regression ICML 2021
Contrastively Disentangled Sequential Variational Autoencoder NIPS 2021
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances NIPS 2020
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science AAAI 2019
Automatic Detection and Compression for Passive Acoustic Monitoring of the African Forest Elephant AAAI 2019
Understanding Batch Normalization NIPS 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 NIPS 2016
Uncovering Hidden Structure through Parallel Problem Decomposition for the Set Basis Problem: Application to Materials Discovery IJCAI 2015
Embed and Project: Discrete Sampling with Universal Hashing NIPS 2013
Double-Wheel Graphs Are Graceful IJCAI 2013
Crowdsourcing Backdoor Identification for Combinatorial Optimization IJCAI 2013
Density Propagation and Improved Bounds on the Partition Function NIPS 2012
Accelerated Adaptive Markov Chain for Partition Function Computation NIPS 2011
Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NIPS 2006