Risto Miikkulainen

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 141

Top Venues

Publications

Jason Zhi Liang, Hormoz Shahrzad, Risto Miikkulainen
Asynchronous evolution of deep neural network architectures. Appl. Soft Comput. 152 (2024)
Risto Miikkulainen
Generative AI: An AI paradigm shift in the making? AI Mag. 45 (1) (2024)
Hormoz Shahrzad, Risto Miikkulainen
GPU-Accelerated Rule Evaluation and Evolution. CoRR (2024)
Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen
Domain-Independent Lifelong Problem Solving Through Distributed ALife Actors. Artif. Life 30 (2) (2024)
Risto Miikkulainen
Evolution of Neural Networks. GECCO Companion (2024)
Ashok Khanna, Olivier Francon, Risto Miikkulainen
Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management. CoRR (2024)
Xin Qiu, Risto Miikkulainen
Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models. CoRR (2024)
Wenxi Wang, Yang Hu, Mohit Tiwari, Sarfraz Khurshid, Kenneth L. McMillan, Risto Miikkulainen
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks. ICLR (2024)
Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Babak Hodjat
Discovering Effective Policies for Land-Use Planning. CoRR (2023)
Erkin Bahçeci, Riitta Katila, Risto Miikkulainen
Evolving Strategies for Competitive Multi-Agent Search. CoRR (2023)
Garrett Bingham, Risto Miikkulainen
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. AAAI (2023)
Xin Qiu, Risto Miikkulainen
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search. ICML (2023)
Garrett Bingham, Risto Miikkulainen
Efficient Activation Function Optimization through Surrogate Modeling. NeurIPS (2023)
Risto Miikkulainen
Evolution of Neural Networks. GECCO Companion (2023)
Garrett Bingham, Risto Miikkulainen
Efficient Activation Function Optimization through Surrogate Modeling. CoRR (2023)
Hormoz Shahrzad, Risto Miikkulainen
Accelerating Evolution Through Gene Masking and Distributed Search. CoRR (2023)
Jason Zhi Liang, Hormoz Shahrzad, Risto Miikkulainen
Asynchronous Evolution of Deep Neural Network Architectures. CoRR (2023)
Risto Miikkulainen
Evolution of neural networks. GECCO Companion (2022)
Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone
Effective Mutation Rate Adaptation through Group Elite Selection. CoRR (2022)
Elliot Meyerson, Xin Qiu, Risto Miikkulainen
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings). CoRR (2022)
Garrett Bingham, Risto Miikkulainen
Discovering Parametric Activation Functions. Neural Networks 148 (2022)
Nora E. Aguirre-Celis, Risto Miikkulainen
How the Brain Dynamically Constructs Sentence-Level Meanings From Word-Level Features. Frontiers Artif. Intell. 5 (2022)
Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4 (3) (2022)
Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone
Effective mutation rate adaptation through group elite selection. GECCO (2022)
Peggy Fidelman, Uli Grasemann, Claudia Peñaloza, Michael Scimeca, Yakeel T. Quiroz, Swathi Kiran, Risto Miikkulainen
Constructing Individualized Computational Models for Dementia Patients. CogSci (2022)
Elliot Meyerson, Xin Qiu, Risto Miikkulainen
Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings). GECCO (2022)
Cameron Buckner, Risto Miikkulainen, Stephanie Forrest, Silvia Milano, James Zou, Carina Prunk, Christopher Irrgang, I. Glenn Cohen, Hao Su, Robin R. Murphy, Russell H. Taylor, Axel Krieger, Mirko Kovac, Jathan Sadowski, Vidushi Marda
AI reflections in 2021. Nat. Mach. Intell. 4 (1) (2022)
Hormoz Shahrzad, Babak Hodjat, Risto Miikkulainen
Evolving explainable rule sets. GECCO Companion (2022)
Xin Qiu, Risto Miikkulainen
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. AAAI (2022)
Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen
DIAS: A Domain-Independent Alife-Based Problem-Solving System. CoRR (2022)
Hormoz Shahrzad, Babak Hodjat, Risto Miikkulainen
Evolution of Transparent Explainable Rule-sets. CoRR (2022)
Xin Qiu, Risto Miikkulainen
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search. CoRR (2022)
Risto Miikkulainen, Stephanie Forrest
A biological perspective on evolutionary computation. Nat. Mach. Intell. 3 (1) (2021)
Santiago Gonzalez, Mohak Kant, Risto Miikkulainen
Evolving GAN Formulations for Higher Quality Image Synthesis. CoRR (2021)
Santiago Gonzalez, Risto Miikkulainen
Optimizing loss functions through multi-variate taylor polynomial parameterization. GECCO (2021)
Jason Zhu Liang, Santiago Gonzalez, Hormoz Shahrzad, Risto Miikkulainen
Regularized evolutionary population-based training. GECCO (2021)
Risto Miikkulainen
Creative AI Through Evolutionary Computation: Principles and Examples. SN Comput. Sci. 2 (3) (2021)
Elizabeth Liner, Risto Miikkulainen
Improving Neural Network Learning Through Dual Variable Learning Rates. IJCNN (2021)
Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, Stephanie Manson Brown
Evaluating medical aesthetics treatments through evolved age-estimation models. GECCO (2021)
Risto Miikkulainen
Evolution of neural networks. GECCO Companion (2021)
Garrett Bingham, Risto Miikkulainen
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. CoRR (2021)
Elliot Meyerson, Risto Miikkulainen
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. ICLR (2021)
Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat
From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic. IEEE Trans. Evol. Comput. 25 (2) (2021)
Cem Celal Tutum, Suhaib Abdulquddos, Risto Miikkulainen
Generalization of Agent Behavior through Explicit Representation of Context. CoG (2021)
Wenxi Wang, Yang Hu, Mohit Tiwari, Sarfraz Khurshid, Kenneth L. McMillan, Risto Miikkulainen
NeuroComb: Improving SAT Solving with Graph Neural Networks. CoRR (2021)
Xin Qiu, Risto Miikkulainen
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. CoRR (2020)
Jingbo Jiang, Diego Legrand, Robert Severn, Risto Miikkulainen
A Comparison of the Taguchi Method and Evolutionary optimization in Multivariate Testing. CEC (2020)
Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad
Effective reinforcement learning through evolutionary surrogate-assisted prescription. GECCO (2020)
Xiruo Wang, Risto Miikkulainen
MDEA: Malware Detection with Evolutionary Adversarial Learning. CoRR (2020)
Risto Miikkulainen
Creative AI Through Evolutionary Computation: Principles and Examples. CoRR (2020)
Jason Zhi Liang, Santiago Gonzalez, Risto Miikkulainen
Population-Based Training for Loss Function Optimization. CoRR (2020)
Cem Celal Tutum, Suhaib Abdulquddos, Risto Miikkulainen
Generalization of Agent Behavior through Explicit Representation of Context. CoRR (2020)
Cem Celal Tutum, Risto Miikkulainen
Adapting to Unseen Environments through Explicit Representation of Context. ALIFE (2020)
Garrett Bingham, William Macke, Risto Miikkulainen
Evolutionary optimization of deep learning activation functions. GECCO (2020)
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Léni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Richard A. Watson, Westley Weimer, Jason Yosinski
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 26 (2) (2020)
Xin Qiu, Elliot Meyerson, Risto Miikkulainen
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. ICLR (2020)
Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription. CoRR (2020)
Elizabeth Liner, Risto Miikkulainen
Improving Neural Network Learning Through Dual Variable Learning Rates. CoRR (2020)
J. Warner, A. Devaraj, Risto Miikkulainen
Using context to make gas classifiers robust to sensor drift. CoRR (2020)
Cem Celal Tutum, Risto Miikkulainen
Adapting to Unseen Environments through Explicit Representation of Context. CoRR (2020)
Santiago Gonzalez, Risto Miikkulainen
Evolving Loss Functions with Multivariate Taylor Polynomial Parameterizations. CoRR (2020)
Garrett Bingham, William Macke, Risto Miikkulainen
Evolutionary Optimization of Deep Learning Activation Functions. CoRR (2020)
Risto Miikkulainen
Evolution of neural networks. GECCO Companion (2020)
Padmini Rajagopalan, Kay E. Holekamp, Risto Miikkulainen
Evolution of Complex Coordinated Behavior. CEC (2020)
Risto Miikkulainen, Myles Brundage, Jonathan Epstein, Tyler Foster, Babak Hodjat, Neil Iscoe, Jingbo Jiang, Diego Legrand, Sam Nazari, Xin Qiu, Michael Scharff, Cory Schoolland, Robert Severn, Aaron Shagrin
Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization. AI Mag. 41 (1) (2020)
Garrett Bingham, Risto Miikkulainen
Discovering Parametric Activation Functions. CoRR (2020)
Elliot Meyerson, Risto Miikkulainen
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. CoRR (2020)
Xiruo Wang, Risto Miikkulainen
MDEA: Malware Detection with Evolutionary Adversarial Learning. CEC (2020)
Nora E. Aguirre-Celis, Risto Miikkulainen
Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior. CoRR (2020)
Santiago Gonzalez, Risto Miikkulainen
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. CEC (2020)
Santiago Gonzalez, Risto Miikkulainen
Effective Regularization Through Loss-Function Metalearning. CoRR (2020)
Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Elisa Canzani, Babak Hodjat
From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic. CoRR (2020)
Risto Miikkulainen
Creative AI Through Evolutionary Computation. CoRR (2019)
Kaitlin Maile, Manish Saggar, Risto Miikkulainen
Implementing evolutionary optimization to model neural functional connectivity. GECCO (Companion) (2019)
Xin Qiu, Risto Miikkulainen
Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms. AAAI (2019)
Guangli Dai, Pavan Kumar Paluri, Thomas Carmichael, Albert Mo Kim Cheng, Risto Miikkulainen
Work-in-Progress: Leveraging the Selfless Driving Model to Reduce Vehicular Network Congestion. RTSS (2019)
Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen
Evolutionary neural AutoML for deep learning. GECCO (2019)
Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen
Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework. ACM Trans. Cyber Phys. Syst. 3 (2) (2019)
Risto Miikkulainen
Evolution of neural networks. GECCO (Companion) (2019)
Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen
Enhanced Optimization with Composite Objectives and Novelty Pulsation. CoRR (2019)
Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen
Evolutionary Neural AutoML for Deep Learning. CoRR (2019)
Elliot Meyerson, Risto Miikkulainen
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. NeurIPS (2019)
Xin Qiu, Elliot Meyerson, Risto Miikkulainen
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. CoRR (2019)
Padmini Rajagopalan, Kay E. Holekamp, Risto Miikkulainen
Factors that Affect the Evolution of Complex Cooperative Behavior. ALIFE (2019)
Nora E. Aguirre-Celis, Risto Miikkulainen
Quantifying the Conceptual Combination Effect on Word Meanings. CogSci (2019)
Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen
Enhanced Optimization with Composite Objectives and Novelty Pulsation. GPTP (2019)
Risto Miikkulainen, Bret Greenstein, Babak Hodjat, Jerry Smith
Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential. CoRR (2019)
Santiago Gonzalez, Risto Miikkulainen
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. CoRR (2019)
Elliot Meyerson, Risto Miikkulainen
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. CoRR (2019)
Santiago Gonzalez, Joshua Landgraf, Risto Miikkulainen
Faster Training by Selecting Samples Using Embeddings. IJCNN (2019)
Cameron R. Wolfe, Cem Celal Tutum, Risto Miikkulainen
Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search. CoRR (2019)
Cameron R. Wolfe, Cem Celal Tutum, Risto Miikkulainen
Functional generative design of mechanisms with recurrent neural networks and novelty search. GECCO (2019)
Alexander Braylan, Risto Miikkulainen
Discretization of Game Space by Environment Attributes. KEG@AAAI (2019)
Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen
Enhanced optimization with composite objectives and novelty pulsation. GECCO (Companion) (2019)
Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen
Designing neural networks through neuroevolution. Nat. Mach. Intell. 1 (1) (2019)
Aditya Rawal, Risto Miikkulainen
From Nodes to Networks: Evolving Recurrent Neural Networks. CoRR (2018)
Cem Celal Tutum, Supawit Chockchowwat, Etienne Vouga, Risto Miikkulainen
Functional Generative Design: An Evolutionary Approach to 3D-Printing. CoRR (2018)
Hormoz Shahrzad, Daniel Fink, Risto Miikkulainen
Enhanced Optimization with Composite Objectives and Novelty Selection. ALIFE (2018)
Xun Li, Risto Miikkulainen
Dynamic Adaptation and Opponent Exploitation in Computer Poker. AAAI Workshops (2018)
Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen
Evolutionary Architecture Search For Deep Multitask Networks. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Risto Miikkulainen