For the most up-to-date list, please see Google Scholar.

(check out the video thumbnails below for fun summary videos, where available)

 

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
Image 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
Data processing overview. Free-living data collected from thigh and chest accerleromerter and then classified using a deep learning classifier. Features of postural sway were computed for each standing bout. Feature values vary through the day, clustering techniques were used to find similar data. 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
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
Evaluating supernets for neural architecture search
Meyer-Lee, & Cheney, N.
AutoML Conference Workshop, 2023
On the selection of neural architectures from a supernet
Meyer-Lee, & Cheney, N.
AutoML Conference Workshop, 2023
Omnimage: Evolving 1k image cliques for few-shot learning
Frati, L., Traft, N., & Cheney, N.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
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
Many-objective optimization via voting for elites
Dean, J., & Cheney, N.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2023
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
Neighbor-hop mutation for genetic algorithm in influence maximization
Chawla, A., & Cheney, N.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2023
Evolving robust facility placements
Thompson, W., Friedrichsen, A., Danfroth, C., Dodds, P., & Cheney, N.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2023
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
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
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
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
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
An external file that holds a picture, illustration, etc.
Object name is nihpp-2023.02.28.23286590v2-t0002.jpg 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
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
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
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
Sensors 22 06982 g001 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
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
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
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
Soft Robot Evolution - Creative Machines Lab - Columbia University Evolving robotic morphologies
Howard, D., Glette, K., & Cheney, N.
Frontiers in Robotics and AI, 2022
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
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
Fig. 1 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
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
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
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
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
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
An external file that holds a picture, illustration, etc.
Object name is nihms-1703282-f0001.jpg 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
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
pdf
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
pdf
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
pdfbibtex
Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques
Gurchiek, R., Cheney, N., McGinnis, R.
Sensors, 2019
pdf
Embodiment Dictates Learnability in Neural Controllers
Powers, J., Grindle, R., Kriegman, S., Frati, L., Cheney, N., Bongard, J.
arXiv preprint arXiv:1910.07487, 2019
pdfbibtex
How Morphological Development Can Guide Evolution
Kriegman, S., Cheney, N., Bongard, J.
Nature Scientific Reports, 2018
pdfbibtex | video
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
pdfimage
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
pdfbibtex 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
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
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
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
pdfimage
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
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
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
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
Topological Evolution for Embodied Cellular Automata
Cheney, N., Lipson, H.
Theoretical Computer Science, 2016
pdf | bibtex
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
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
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
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
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
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