neural networks research group
areas • people • projects • demos • publications • software/data •
Babak Hodjat
Collaborator
Babak is CTO of AI at Cognizant. He has a PhD from Kuyshu University in 2003.
Publications
     [Expand to show all 21][Minimize]
Domain-Independent Lifelong Problem Solving through Distributed Alife Actors Babak Hodjat, Hormoz Shahrzad, and Risto Miikkulainen Artificial Life, 30:359-276, 2024. 2024
Discovering Effective Policies for Land-Use Planning with Neuroevolution Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Clemens Schwingshackl, Jacob Bi... arXiv:2311.12304, 2024. (A shorter version appeared in the Proceedings of the NeurIPS 2023 ... 2024
Unlocking the Potential of Global Human Expertise Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, and Risto Miikkulainen In Proceedings of the 38th Conference on Neural Information Processing Systems (NeurIPS 2024)... 2024
Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju... To Appear In R. Kozma, C. Alippi, Y. Choe, and F. Morabito, editors, Artificial Intelligence in t... 2023
DIAS: A Domain-Independent Alife-Based Problem-Solving System Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen In Proceedings of the 2022 Conference on Artificial Life, 2022. 2022
Evolution of Transparent Explainable Rule-sets Hormoz Shahrzad, Babak Hodjat, and Risto Miikkulainen arXiv:2204.10438, 2022. 2022
From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak ... To Appear In IEEE Transactions on Evolutionary Computation, 25:386-401, 2021. 2021
Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization Risto Miikkulainen, Myles Brundage, Jonathan Epstein, Tyler Foster, Babak Hodjat, Neil Iscoe, Jingbo... AI Magazine, 41:44-60, 2020. 2020
Enhanced Optimization with Composite Objectives and Novelty Pulsation Hormoz Shahrzad, Babak Hodjat, Camille Dolle, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer,... To Appear In Genetic Programming Theory and Practice XVII, 2020. Springer, New York. 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Horm... In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020), 2020. 2020
Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju... In Robert Kozma, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Morabito, editors, Artificial ... 2019
Evolutionary Neural AutoML for Deep Learning Jason Liang, Elliot Meyerson, Babak Hodjat, Dan Fink, Karl Mutch, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2019), 401–409... 2019
Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential Risto Miikkulainen, Bret Greenstein, Babak Hodjat, Jerry Smith arxiv:1905.13178, 2019. 2019
PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen, Lawrence Murray, and Chris Holmes In Genetic Programming Theory and Practice XIV, New York, 2018. Springer. 2018
Estimating the Advantage of Age-Layering in Evolutionary Algorithms Hormoz Shahrzad, Babak Hodjat, and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2016, Denv... 2016
Distributed Age-Layered Novelty Search Babak Hodjat, Hormoz Shahrzad, and Risto Miikkulainen To Appear In Proceedings of the Fifteenth International Conference on the Synthesis and Simulatio... 2016
nPool: Massively Distributed Simultaneous Evolution and Cross-Validation in EC-Star Babak Hodjat, Hormoz Shahrzad In Genetic Programming Theory and Practice XIII, 2016. Springer, Cham. 2016
Tackling the Boolean Multiplexer Function Using a Highly Distributed Genetic Programming System Hormoz Shahrzad, Babak Hodjat In Riolo, R., Worzel, W., Kotanchek, M., editors, Genetic Programming Theory and Practice XII... 2015
Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data Babak Hodjat, Erik Hemberg, Hormoz Shahrzad, Una-May O’Reilly In Riolo, R., Moore, J., Kotanchek, M., editors, Genetic Programming Theory and Practice XI, ... 2014
Learning Decision Lists with Lags for Physiological Time Series Erik Hemberg, Kalyan Veeramachaneni, Prashan Wanigasekara, Hormoz Shahrzad, Babak Hodjat, Una-May O'... In Workshop on Data Mining for Medicine and Healthcare at the 14th SIAM International Conference ... 2014
Introducing an Age-Varying Fitness Estimation Function Babak Hodjat, Hormoz Shahrzad In Riolo, R., Vladislavleva, E., Ritchie, M., Moore, J., editors, Genetic Programming Theory and ... 2013
Areas of Interest
Evolutionary Computation Neuroevolution Theory of Evolutionary Computation Artificial Life Applications
UT Only: Advice • Calendar • Admin