Nick Cheney

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 41

Top Topics

Systematic Review

Early Childhood

Multiple Sclerosis

Adaptive Behavior

Top Venues

Publications

Alican Mertan, Nick Cheney
No-brainer: Morphological Computation driven Adaptive Behavior in Soft Robots. CoRR (2024)
Alican Mertan, Nick Cheney
Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots. EuroGP (2024)
Bryn C. Loftness, Julia Halvorson-Phelan, Aisling O'Leary, Carter Bradshaw, Shania Prytherch, Isabel Berman, John Torous, William E. Copeland, Nick Cheney, Ryan S. McGinnis, Ellen W. McGinnis
The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Alican Mertan, Nick Cheney
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation. GECCO (2024)
Alican Mertan, Nick Cheney
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation. CoRR (2024)
Alican Mertan, Nick Cheney
Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots. CoRR (2024)
Alican Mertan, Nick Cheney
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots. GECCO (2023)
Bryn C. Loftness, Ira Bernstein, Carole A. McBride, Nick Cheney, Ellen W. McGinnis, Ryan S. McGinnis
Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy. EMBC (2023)
Alican Mertan, Nick Cheney
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots. CoRR (2023)
Lapo Frati, Neil Traft, Nick Cheney
OmnImage: Evolving 1k Image Cliques for Few-Shot Learning. GECCO (2023)
Jackson Dean, Nick Cheney
Many-objective Optimization via Voting for Elites. GECCO Companion (2023)
Aviral Chawla, Nick Cheney
Neighbor-Hop Mutation for Genetic Algorithm in Influence Maximization. GECCO Companion (2023)
Bryn C. Loftness, Donna M. Rizzo, Julia Halvorson-Phelan, Aisling O'Leary, Shania Prytherch, Carter Bradshaw, Anna Jane Brown, Nick Cheney, Ellen W. McGinnis, Ryan S. McGinnis
Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning. EMBC (2023)
Jackson Dean, Nick Cheney
Many-objective Optimization via Voting for Elites. CoRR (2023)
Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning. CoRR (2023)
Csenge Petak, Lapo Frati, Melissa Helen Pespeni, Nick Cheney
Coping with seasons: evolutionary dynamics of gene networks in a changing environment. GECCO Companion (2023)
Brett M. Meyer, Paolo DePetrillo, Jaime Franco, Nicole Donahue, Samantha R. Fox, Aisling O'Leary, Bryn C. Loftness, Reed D. Gurchiek, Maura Buckley, Andrew J. Solomon, Sau Kuen Ng, Nick Cheney, Melissa Ceruolo, Ryan S. McGinnis
How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway. Sensors 22 (18) (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)
David Howard, Kyrre Glette, Nick Cheney
Editorial: Evolving Robotic Morphologies. Frontiers Robotics AI 9 (2022)
Bryn C. Loftness, Julia Halvorson-Phelan, Aisling O'Leary, Nick Cheney, Ellen W. McGinnis, Ryan S. McGinnis
UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety. EMBC (2022)
Shawn L. Beaulieu, Jeff Clune, Nick Cheney
Continual learning under domain transfer with sparse synaptic bursting. CoRR (2021)
Brett M. Meyer, Lindsey J. Tulipani, Reed D. Gurchiek, Dakota A. Allen, Lukas Adamowicz, Dale Larie, Andrew J. Solomon, Nick Cheney, Ryan S. McGinnis
Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis. IEEE J. Biomed. Health Informatics 25 (5) (2021)
Joshua P. Powers, Ryan Grindle, Sam Kriegman, Lapo Frati, Nick Cheney, Josh C. Bongard
Morphology dictates learnability in neural controllers. ALIFE (2020)
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
Learning to Continually Learn. ECAI (2020)
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
Learning to Continually Learn. CoRR (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)
Joshua P. Powers, Ryan Grindle, Sam Kriegman, Lapo Frati, Nick Cheney, Josh C. Bongard
Embodiment dictates learnability in neural controllers. CoRR (2019)
Reed D. Gurchiek, Nick Cheney, Ryan S. McGinnis
Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques. Sensors 19 (23) (2019)
Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard
Interoceptive robustness through environment-mediated morphological development. GECCO (2018)
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni 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, Westley Weimer, Richard A. Watson, Jason Yosinski
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR (2018)
Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard
Interoceptive robustness through environment-mediated morphological development. CoRR (2018)
Francesco Corucci, Nick Cheney, Francesco Giorgio Serchi, Josh C. Bongard, Cecilia Laschi
Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions. CoRR (2017)
Sam Kriegman, Collin Cappelle, Francesco Corucci, Anton Bernatskiy, Nick Cheney, Josh C. Bongard
Simulating the evolution of soft and rigid-body robots. GECCO (Companion) (2017)
Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard
A minimal developmental model can increase evolvability in soft robots. GECCO (2017)
Nick Cheney, Josh C. Bongard, Vytas SunSpiral, Hod Lipson
Scalable Co-Optimization of Morphology and Control in Embodied Machines. CoRR (2017)
Francesco Corucci, Nick Cheney, Sam Kriegman, Josh C. Bongard, Cecilia Laschi
Evolutionary Developmental Soft Robotics As a Framework to Study Intelligence and Adaptive Behavior in Animals and Plants. Frontiers Robotics AI 4 (2017)
Sam Kriegman, Nick Cheney, Josh C. Bongard
How morphological development can guide evolution. CoRR (2017)
Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard
A Minimal Developmental Model Can Increase Evolvability in Soft Robots. CoRR (2017)
Kenneth O. Stanley, Nick Cheney, Lisa B. Soros
How the Strictness of the Minimal Criterion Impacts Open-Ended Evolution. ALIFE (2016)
Nick Cheney, Hod Lipson
Topological evolution for embodied cellular automata. Theor. Comput. Sci. 633 (2016)
Josh C. Bongard, Cecilia Laschi, Hod Lipson, Nick Cheney, Francesco Corucci
Material properties affect evolutions ability to exploit morphological computation in growing soft-bodied creatures. ALIFE (2016)
Nick Cheney, Josh C. Bongard, Hod Lipson
Evolving Soft Robots in Tight Spaces. GECCO (2015)
Nick Cheney, Jeff Clune, Jason Yosinski, Hod Lipson
Hands-free Evolution of 3D-printable Objects via Eye Tracking CoRR (2013)
Nick Cheney, Robert MacCurdy, Jeff Clune, Hod Lipson
Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding. GECCO (2013)