Risto Miikkulainen
16 papers · 2008–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (16) πΊοΈ Taxonomy Completionist (25)
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Hot Topic Early Bird
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Conference Polyglot
(6)
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Academic Marathon
(16)
π
Grand Slam
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Century Club
(16)
ποΈ
Keyword Collector
(60)
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Conference Pioneer
π₯
Unstoppable
(7)
Conferences
ICLR (4)
NIPS (4)
AAAI (3)
ICML (2)
JMLR (2)
COLING (1)
Top co-authors
Keywords
evolutionary algorithm
(3)
neural network
(3)
neural network optimization
(2)
uncertainty quantification
(2)
activation function
(2)
variational inference
(1)
policy optimization
(1)
multi-task learning
(1)
graph matching
(1)
hyperparameter optimization
(1)
probabilistic modeling
(1)
knowledge distillation
(1)
policy learning
(1)
neural architecture search
(1)
deep learning
(1)
domain adaptation
(1)
graph representation
(1)
multitask learning
(1)
error detection
(1)
transfer learning
(1)
Papers
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
NIPS 2024
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks
ICLR 2024
Unlocking the Potential of Global Human Expertise
NIPS 2024
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
AAAI 2023
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search
ICML 2023
Efficient Activation Function Optimization through Surrogate Modeling
NIPS 2023
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model
AAAI 2022
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
ICLR 2021
Characterizing Dynamic Word Meaning Representations in the Brain
COLING 2020
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel
ICLR 2020
Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms
AAAI 2019
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains
NIPS 2019
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
ICLR 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharingβand Back
ICML 2018
Using Symmetry and Evolutionary Search to Minimize Sorting Networks
JMLR 2013
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
JMLR 2008