Risto Miikkulainen
机构: Professor of Computer Science, the University of Texas at Austin
主页: utexas.edu
每年引用次数
引用次数
引用: 28,215
H-指数: 74
I10-指数 : 294
出版物: 603
Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Risto Miikkulainen , José C. Príncipe
2009
Discovering Evolutionary Stepping Stones through Behavior Domination
Risto Miikkulainen , Elliot Meyerson
arXiv: Neural and Evolutionary Computing
2017
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back
Risto Miikkulainen , Elliot Meyerson
international conference on machine learning 3508 -3517
48
2018
Reuse of neural modules for general video game playing
Risto Miikkulainen , Mark Hollenbeck , Alexander Braylan , Elliot Meyerson
national conference on artificial intelligence 353 -359
5
2016
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains
Risto Miikkulainen , Elliot Meyerson
neural information processing systems 32 7903 -7914
26
2019
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel
Risto Miikkulainen , Xin Qiu , Elliot Meyerson
international conference on learning representations
42
2020
Evolutionary Optimization of Deep Learning Activation Functions
Risto Miikkulainen , Garrett Bingham , William Macke
arXiv: Learning
28
2020
Adapting to Unseen Environments through Explicit Representation of Context
Risto Miikkulainen , Risto Miikkulainen , Cem C. Tutum
arXiv: Neural and Evolutionary Computing
2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription
Risto Miikkulainen , Hormoz Shahrzad , Xin Qiu , Elliot Meyerson
arXiv: Neural and Evolutionary Computing
17
2020
From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic.
Risto Miikkulainen , Elisa Canzani , Xin Qiu , Elliot Meyerson
arXiv: Neural and Evolutionary Computing
5
2020
Discovering Parametric Activation Functions
Risto Miikkulainen , Garrett Bingham
arXiv: Learning
19
2021
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization
Risto Miikkulainen , Santiago Gonzalez
arXiv: Learning
5
2021
Characterizing Dynamic Word Meaning Representations in the Brain
Risto Miikkulainen , Nora Aguirre-Celis
Proceedings of the Workshop on the Cognitive Aspects of the Lexicon 117 -128
2020
A biological perspective on evolutionary computation
Risto Miikkulainen , Stephanie Forrest
Nature Machine Intelligence 3 ( 1) 9 -15
36
2021
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Risto Miikkulainen , Elliot Meyerson
international conference on learning representations
5
2021
From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic
Risto Miikkulainen , Elisa Canzani , Xin Qiu , Elliot Meyerson
IEEE Transactions on Evolutionary Computation 25 ( 2) 386 -401
24
2021
Creative AI Through Evolutionary Computation: Principles and Examples
Risto Miikkulainen
SN Computer Science 2 ( 3) 163 -163
5
2021
Predicting language treatment response in bilingual aphasia using neural network-based patient models
Swathi Kiran , Claudia Peñaloza , Uli Grasemann , Risto Miikkulainen
Scientific Reports 11 ( 1) 10497 -10497
2021
Extinction Events Can Accelerate Evolution
Joel Lehman , Risto Miikkulainen
PLOS ONE 10 ( 8)
21
2015
Designing neural networks through neuroevolution
Kenneth O. Stanley , Jeff Clune , Joel Lehman , Risto Miikkulainen
Nature Machine Intelligence 1 ( 1) 24 -35
527
2019