For the most up-to-date list, please see Google Scholar.
(check out the video thumbnails below for fun summary videos, where available)
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No-brainer: Morphological Computation Driven Adaptive Behavior in Soft Robots
Mertan, A., Cheney, N. |
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The Genomic Code: The genome instantiates a generative model of the organism
Kevin, M., Cheney, N. |
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Towards Stepping Stones in Goal-Directed Search: Improving Image Perceptual Similarity by combining Evolution, Backpropagation, and Fourier Transforms
Dean, J., Cheney, N. |
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Networks of Binary Necklaces Induced by Elementary Cellular Automata Rules
Frati, L., Petak, C., Cheney, N. |
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Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation Mertan, A., Cheney, N. Proceedings of the Genetic and Evolutionary Computation Conference, 2024 |
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Nature is resource, playground, and gift: What artificial intelligence reveals about human–Nature relationships
Gould, R.K., Demarest, B., Ivakhiv, A., Cheney, N. |
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LDCT image biomarkers that matter most for the deep learning classification of indeterminate pulmonary nodules
Masquelin, A.H., Cheney, N., Estépar, R.S., Bates, J.H., Kinsey, M.C. |
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Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots
Mercan, A., Cheney, N. |
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Assessing Free-Living Postural Sway in Persons With Multiple Sclerosis
Meyer, B.M., Cohen, J.G., DePetrillo, P., Ceruolo, M., Jangraw, D., Cheney, N., Solomon, A.J., McGinnis, R.S. |
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The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health
Loftness, B., Halvorson-Phelan, J., O’Leary, A., Bradshaw, C., Prytherch, S., Berman, I., Torous, J., Copeland, W.L., Cheney, N., McGinnis, R.S., McGinnis, E.W. |
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Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning Frati, L., Traft, N., Clune, J., & Cheney, N. arXiv preprint arXiv:2310.07996, 2023 |
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The resume paradox: Greater language differences, smaller pay gaps Minot, J. R., Maier, M., Demarest, B., Cheney, N., Danforth, C. M., Dodds, P. S., & Frank, M. R. arXiv preprint arXiv:2307.08580, 2023 |
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Meyer, B., Cohen, J. G., DePetrillo, P., Ceruolo, M., Jangraw, D., Solomon, A. J., Cheney, N., & McGinnis, R. S. Assessing Free-Living Postural Sway in Persons with Multiple Sclerosis TechRxiv preprint TechRxiv:24012456, 2023 |
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Behavioral patterns in a disease spreading simulation Langle-Chimal, O. D., Merril, S. C., Clark, E. M., Bucini, G., Liu, T.-L., Shrum, T. R., Koliba, C., Zia, A., Smith, J. M., & Cheney, N. arXiv preprint arXiv:2305.16600, 2023 |
| Continual Learning Under Domain Transfer with Sparse Synaptic Bursting Beaulieu, S., Clune, J., & Cheney, N. AutoML Conference Workshop, 2023 |
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| Evaluating supernets for neural architecture search Meyer-Lee, & Cheney, N. AutoML Conference Workshop, 2023 |
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| On the selection of neural architectures from a supernet Meyer-Lee, & Cheney, N. AutoML Conference Workshop, 2023 |
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Omnimage: Evolving 1k image cliques for few-shot learning Frati, L., Traft, N., & Cheney, N. Proceedings of the Genetic and Evolutionary Computation Conference, 2023 |
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Modular controllers facilitate the co-optimization of morphology and control in soft robots Mertan, A., & Cheney, N. Proceedings of the Genetic and Evolutionary Computation Conference, 2023 |
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Many-objective optimization via voting for elites Dean, J., & Cheney, N. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2023 |
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Coping with seasons: Evolutionary dynamics of gene networks in a changing environment Petak, C., Frati, L., Pespeni, M. H., & Cheney, N. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2023 |
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Neighbor-hop mutation for genetic algorithm in influence maximization Chawla, A., & Cheney, N. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2023 |
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Evolving robust facility placements Thompson, W., Friedrichsen, A., Danfroth, C., Dodds, P., & Cheney, N. Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2023 |
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Rethinking responsibility in precision agriculture innovation: Lessons from an interdisciplinary research team Prutzer, E., Gardezi, M., Rizzo, D. M., Emery, M., Merrill, S., Ryan, B. E., Oikonomou, P. D., Alvez, J. P., Adereti, D. T., Anjum, R., Badireddy, A. R., Bhattarai, D., Brugler, S., Cheney, N., Clay, D., Clay, S., Dadkhah, A., Faulkner, J. W., Joshi, D. R., . . . Zia, A. Journal of Responsible Innovation, 2023 |
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Perinodular Parenchymal Features Improve Indeterminate Lung Nodule Classification Masquelin, A. H., Alshaabi, T., Cheney, N., Estépar, R. S. J., Bates, J. H., & Kinsey, C. M. Academic Radiology, 2023 |
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Digital phenotypes of instability and fatigue derived from daily standing transitions in persons with multiple sclerosis VanDyk, T., Meyer, B., DePetrillo, P., Donahue, N., O’Leary, A., Fox, S., Cheney, N., Ceruolo, M., Solomon, A. J., & McGinnis, R. S. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 |
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Chest-based wearables and individualized distributions for assessing postural sway in persons with multiple sclerosis Meyer, B. M., Cohen, J. G., Donahue, N., Fox, S. R., O’Leary, A., Brown, A. J., Leahy, C., VanDyk, T., DePetrillo, P., Ceruolo, M., Cheney, N., Solomon, A. J., & McGinnis, R. S. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 |
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A machine learning approach to predicting early and late postoperative reintubation Koretsky, M. J., Brovman, E. Y., Urman, R. D., Tsai, M. H., & Cheney, N. Journal of Clinical Monitoring and Computing, 2023 |
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Preterm preeclampsia risk modelling: Examining hemodynamic, biochemical, and biophysical markers prior to pregnancy Loftness, B. C., Bernstein, I., McBride, C. A., Cheney, N., McGinnis, E. W., & McGinnis, R. S. Proceedings of the IEEE Engineering in Medicine and Biology Society Conference, 2023 |
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Toward digital phenotypes of early childhood mental health via unsupervised and supervised machine learning Loftness, B. C., Rizzo, D. M., Halvorson-Phelan, J., O’Leary, A., Lunna, S., Bradshaw, C., Brown, A.-J., Cheney, N., McGinnis, E. W., & McGinnis, R. S. Proceedings of the IEEE Engineering in Medicine and Biology Society Conference, 2023 |
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The Champ App: A scalable mhealth technology for detecting digital phenotypes of early childhood mental health Loftness, B. C., Halvorson-Phelan, J., O’Leary, A., Bradshaw, C., Prytherch, S., Torous, J., Copeland, W. L., Cheney, N., McGinnis, R., & McGinnis, E. Proceedings of the IEEE Engineering in Medicine and Biology Society Conference, 2023 |
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Interpretable bias mitigation for textual data: Reducing genderization in patient notes while maintaining classification performance Minot, J. R., Cheney, N., Maier, M., Elbers, D. C., Danforth, C. M., & Dodds, P. S. ACM Transactions on Computing for Healthcare, 2022 |
| Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis Meyer, B. M., Tulipani, L. J., Gurchiek, R. D., Allen, D. A., Solomon, A. J., Cheney, N., & McGinnis, R. S. PLOS Digital Health, 2022 |
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How much data is enough? a reliable methodology to examine long-term wearable data acquisition in gait and postural sway Meyer, B. M., Depetrillo, P., Franco, J., Donahue, N., Fox, S. R., O’Leary, A., Loftness, B. C., Gurchiek, R. D., Buckley, M., Solomon, A. J., Ng, S. K., Cheney, N., Ceruolo, M., & McGinnis, R. S. Sensors, 2022 |
| Epidemiology of connectional silence in specialist serious illness conversations Gramling, C. J., Durieux, B. N., Clarfeld, L. A., Javed, A., Matt, J. E., Manukyan, V., Braddish, T., Wong, A., Wills, J., Hirsch, L., Straton, J., Cheney, N., Eppstein, M. J., Rizzo, D. M., & Gramling, R. Patient Education and Counseling, 2022 |
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Biological underpinnings for lifelong learning machines Kudithipudi, D., Aguilar-Simon, M., Babb, J., Bazhenov, M., Blackiston, D., Bongard, J., Brna, A. P., Chakravarthi Raja, S., Cheney, N., Clune, J., Daram, A., Fusi, S., Helfer, P., Kay, L., Ketz, N., Kira, Z., Kolouri, S., Krichmar, J. L., Kriegman, S., . . . Siegelmann, H. Nature Machine Intelligence, 2022 |
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Connecting livestock disease dynamics to human learning and biosecurity decisions Bucini, G., Clark, E. M., Merrill, S. C., Langle-Chimal, O., Zia, A., Koliba, C., Cheney, N., Wiltshire, S., Trinity, L., & Smith, J. M. Frontiers in Veterinary Science, 2022 |
| Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis Meyer, B. M., Tulipani, L. J., Gurchiek, R. D., Allen, D. A., Solomon, A. J., Cheney, N., & McGinnis, R. S. PLOS Digital Health, 2022 |
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Comparing behavioral risk assessment strategies for quantifying biosecurity compliance to mitigate animal disease spread Clark, E. M., Merrill, S. C., Trinity, L., Liu, T.-L., O’Keefe, A., Shrum, T., Bucini, G., Cheney, N., Langle-Chimal, O. D., Koliba, C., Zia, A., & Smith, J. M. Frontiers in Veterinary Science, 2022 |
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Evolving robotic morphologies Howard, D., Glette, K., & Cheney, N. Frontiers in Robotics and AI, 2022 |
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UVM Kid Study: Identifying multimodal features and optimizing wearable instrumentation to detect child anxiety Loftness, B. C., Halvorson-Phelan, J., O’Leary, A., Cheney, N., McGinnis, E. W., & McGinnis, R. S. 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022 |
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Conversational stories & self organizing maps: Innovations for the scalable study of uncertainty in healthcare communication Gramling, R., Javed, A., Durieux, B. N., Clarfeld, L. A., Matt, J. E., Rizzo, D. M., Wong, A., Braddish, T., Gramling, C., Wills, J., Arnoldy, F., Straton, J., Cheney, N., Eppstein, M. & Gramling, D. Patient Education and Counseling, 2021 |
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Understanding the Factors that Affect the Appropriateness of Rheumatology Referrals Van Den Broek-Altenburg, E., Atherly, A., Cheney, N., Fama, T. BMC Health Services Research, 2021 |
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Wavelet decomposition facilitates training on small datasets for medical image classification by deep learning Masquelin, A.H., Cheney, N. ,Kinsey, C.M., & Bates, J.H. Histochemistry and Cell Biology, 2021 |
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Why we need to account for human behavior and decision-making to effectively model the non-linear dynamics of livestock disease Merrill, S. C., Bucini, G., Clark, E. M., Koliba, C. J., Trinity, L., Zia, A., Langle, O., Cheney, N., Shrum, T., Sellnow, T., Sellnow, D., & Smith, J. L. Proceedings of the 2021 International Crisis & Risk Communication Conference, 2021 |
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Emulating Agricultural Disease Management: Comparing Risk Preferences Between Industry Professionals and Online Participants Using Experimental Gaming Simulations and Paired Lottery Choice Surveys Clark, E. M., Merrill, S. C., Trinity, L., Bucini, G., Cheney, N., Langle, O., Shrum, T., Koliba, C., Zia, A., & Smith, J. M. Frontiers in Veterinary Science, 2021 |
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The Surprising Creativity of Digital Evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities Lehman, J., Clune, J., Misevic, D., Adami, C., Altenberg, L., Beaulieu, J., Bentley, P. J., Bernard, S., Beslon, G., Bryson, D. M., Chrabaszcz, P., Cheney, N., Cully, A., Doncieux, S., Dyer, F. C., Ellefsen, K. O., Feldt, R., Fischer, S., Forrest, S., . . . Yosinksi, J. Artificial Life, 2020 |
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Operating room tardiness following staffing changes at an ambulatory surgical center Cheney, N., Woodin, T.J., Mtuke, F.T., Dominick, T.S., Benoit, M.Y., & Tsai,M.H. Journal of Clinical Anesthesia, 2020 |
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Wearables and deep learning classify fall risk from gait in multiple sclerosis Meyer,B.M., Tulipani, L.J., Gurchiek, R.D., Allen, D.A., Adamowicz, L., Larie, D., Solomon, A. J., Cheney, N., & McGinnis, R. IEEE Journal of Biomedical and Health Informatics, 2020 |
| Towards an Understanding of Stochastic Differentiable Neural Architecture Search Meyer-Lee, G., Cheney, N. ICLR 2020 Workshop on Neural Architecture Search, 2020 pdf | poster | video |
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Unmet needs and behaviour during the Ebola response in Sierra Leone: a retrospective, mixed-methods analysis of community feedback from the Social Mobilization Action Consortium Skrip, L.A., Bedson, J., Abramowitz, S., Jalloh, M. B., Bah, S., Jalloh, M. F., Langle-Chimal, O. D., Cheney, N., Hébert-Dufresne, L., Althouse, B. M. The Lancet Planetary Health, 2020 |
| Learning to Continually Learn Beaulieu, S., Frati, L., Miconi, T., Lehman, J., Stanley, K., Clune, J., Cheney, N. European Conference on Artificial Intelligence (ECAI), 2020 |
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Using experimental gaming simulations to elicit risk mitigation behavioral strategies for agricultural disease management Clark, E., Merrill, S., Trinity, L., Bucini, G., Cheney, N., Langle-Chimal, O., Shrum, T., Koliba, C., Zia, A., Smith, J. PLoS ONE, 2020 pdf | bibtex |
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Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques Gurchiek, R., Cheney, N., McGinnis, R. Sensors, 2019 |
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Embodiment Dictates Learnability in Neural Controllers Powers, J., Grindle, R., Kriegman, S., Frati, L., Cheney, N., Bongard, J. arXiv preprint arXiv:1910.07487, 2019 pdf | bibtex |
| How Morphological Development Can Guide Evolution Kriegman, S., Cheney, N., Bongard, J. Nature Scientific Reports, 2018 pdf | bibtex | video |
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EVO-SCHIRP: Evolved Secure Swarm Communications Wolf, S., Cooley, R., Borowczak, M., Cheney, N. ISC2-2018: IEEE International Smart Cities Conference Workshop on 5G Communication, Security and Privacy in Smart Cities, 2018 pdf | image |
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Scalable Co-Optimization of Morphology and Control in Embodied Machines Cheney, N., Bongard, J., SunSpiral, V., Lipson, H. Journal of the Royal Society Interface, 2018 pdf | bibtex | image |
| Evolving Soft Locomotion in Aquatic and Terrestrial Environments: Effects of Material Properties and Environmental Transitions Corucci, F., Cheney, N., Giorgio-Serchi, F., Bongard, J., Laschi, C. Soft Robotics, 2018 pdf | bibtex | video |
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| The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities Lehman, J., Clune, J., Misevic, D., Adami, C., … Cheney, N., … Yosinski, J. arXiv preprint arXiv:1803.03453, 2018 pdf | bibtex | video |
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| Interoceptive Robustness Through Environment-Mediated Morphological Development Kriegman, S., Cheney, N., Corucci, F., Bongard, J. GECCO2018: Proceedings of the Genetic and Evolutionary Computation Conference, 2018 pdf | bibtex | video |
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The Role of Embodiment in Open-Ended Evolution Bongard, J., Cheney, N., Mahoor, Z., Powers, J. ALIFE2018: The 2018 Conference on Artificial Life, Workshop on Open-Ended Evolution, 2018 pdf | image |
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On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations Cheney, N., Schrimpf, M., Kreiman, G. arXiv preprint arXiv:1703.08245, 2017 pdf | bibtex |
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Evolutionary Developmental Soft Robotics as a Framework to Study Intelligence and Adaptive Behavior in Animals and Plants Corucci, F., Cheney, N., Kriegman, S., Bongard, J., Laschi, C. Frontiers in Robotics and AI, 2017 pdf | bibtex | video |
| A Minimal Developmental Model Can Increase Evolvability in Soft Robots Kriegman, S., Cheney, N., Corucci, F., Bongard, J. GECCO2017: Proceedings of the Genetic and Evolutionary Computation Conference, 2017 pdf | bibtex | video |
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Simulating the Evolution of Soft and Rigid-Body Robots Kriegman, S., Cappelle, C., Corucci, F., Bernatskiy, A., Cheney, N.,Bongard, J. GECCO2017: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Workshop on Simulation in Evolutionary Robotics, 2017 pdf | bibtex |
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On the Difficulty of Co-Optimizing Morphology and Control in Evolved Virtual Creatures Cheney, N., Bongard, J., SunSpiral, V., Lipson, H. ALIFE XV, The Fifteenth International Conference on the Synthesis and Simulation of Living Systems, 2016 pdf | bibtex |
| Material Properties Affect Evolution’s Ability to Exploit Morphological Computation in Growing Soft-Bodied Creatures Corucci, F., Cheney, N., Lipson, H., Laschi, C., Bongard, J. ALIFE XV, The Fifteenth International Conference on the Synthesis and Simulation of Living Systems, 2016 pdf | bibtex | video |
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Topological Evolution for Embodied Cellular Automata Cheney, N., Lipson, H. Theoretical Computer Science, 2016 pdf | bibtex |
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Evolving Swimming Soft-Bodied Creatures Corucci, F., Cheney, N., Lipson, H., Laschi, C., Bongard, J. ALIFE XV, The Fifteenth International Conference on the Synthesis and Simulation of Living Systems, Late Breaking Proceedings, 2016 pdf | bibtex | video |
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How the Strictness of the Minimal Criterion Impacts Open-Ended Evolution Soros, L., Cheney, N., Stanley, K. ALIFE XV, The Fifteenth International Conference on the Synthesis and Simulation of Living Systems, 2016 pdf | bibtex | video | images |
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Evolving Soft Robots in Tight Spaces Cheney, N., Bongard, J., Lipson, H. GECCO2015: Proceedings of the annual conference on Genetic and Evolutionary Computation, 2015 pdf | bibtex |
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Automated Vibrational Design and Natural Frequency Tuning of Multi-Material Structures Cheney, N., Ritz, E., Lipson, H. GECCO2014: Proceedings of the annual conference on Genetic and Evolutionary Computation, 2014 pdf | bibtex |
| Evolved Electrophysiological Soft Robots Cheney, N., Clune, J., Lipson, H. ALIFE14: The Fourteenth International Conference on the Synthesis and Simulation of Living Systems, 2014 pdf | bibtex | video |
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Hands-free Evolution of 3D-printable Objects via Eye Tracking Cheney, N., Clune, J., Yosinski, J., Lipson, H. arXiv preprint arXiv:1304.4889, 2013 pdf | bibtex |
| Unshackling Evolution: Evolving Soft Robots with Multiple Materials and a Powerful Generative Encoding Cheney, N., MacCurdy, R., Clune, J., Lipson, H. GECCO2013: Proceedings of the annual conference on Genetic and Evolutionary Computation, 2013 pdf | bibtex | video |
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Ablation of Multi-Wavelet Reentry: Agreement between an Evolutionary Computational and a Conceptually Guided Strategy Celis, S., Cheney, N., Eppstein, M., Benson, B., Spector, P. unpublished pdf | bibtex |