Carla P. Gomes
30 papers · 2006–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Conference Polyglot (5)
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Cross-Pollinator
(12)
πΊοΈ
Taxonomy Completionist
(14)
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Interdisciplinary Bridge
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Keyword Trendsetter Combo
(5)
π€
Dynamic Duo
(12)
π±
Topic Pioneer
π§¬
Topic Evolution
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Keyword Champion
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Century Club
(27)
π₯
Unstoppable
(11)
ποΈ
Keyword Collector
(52)
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Trend Setter
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Conference Pioneer
Conferences
NIPS (14)
AAAI (8)
IJCAI (6)
AISTATS (1)
ICML (1)
Top co-authors
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