Nick Cheney

55 papers A 10B 1C 3Journal 31Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Identifying Body Composition Measures That Correlate with Self-Compassion and Social Support.
CoRR
Enerson Poon, Mikaela Irene D. Fudolig, Johanna E. Hidalgo, Bryn C. Loftness, Kathryn Stanton, Connie L. Tompkins, Laura SP Bloomfield, Matthew Price, Peter Sheridan Dodds, Christopher M. Danforth, Nick Cheney
2025 J jnl
Activation Function Design Sustains Plasticity in Continual Learning.
CoRR
Lute Lillo, Nick Cheney
2025 A conf
Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-Elites.
GECCO
Alican Mertan, Nick Cheney
2025 J jnl
Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-Elites.
CoRR
Alican Mertan, Nick Cheney
2025 J jnl
Evolutionary Brain-Body Co-Optimization Consistently Fails to Select for Morphological Potential.
CoRR
Alican Mertan, Nick Cheney
2025 — conf
Heterosis-Based Crossover: Leveraging Structural Differences to Control Diversity and Bloat in Genetic Programming.
GECCO Companion
Lute Lillo, Nick Cheney
2025 J jnl
How Weight Resampling and Optimizers Shape the Dynamics of Continual Learning and Forgetting in Neural Networks.
CoRR
Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney
2025 J jnl
Morphological Cognition: Classifying MNIST Digits Through Morphological Computation Alone.
CoRR
Alican Mertan, Nick Cheney
2025 — conf
What Makes Freezing Layers in Deep Neural Networks Effective? A Linear Separability Perspective.
AutoML
Collin Coil, Nick Cheney
2024 B conf
Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots.
EuroGP
Alican Mertan, Nick Cheney
2024 J jnl
Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots.
CoRR
Alican Mertan, Nick Cheney
2024 — conf
No-brainer: Morphological Computation Driven Adaptive Behavior in Soft Robots.
SAB
Alican Mertan, Nick Cheney
2024 J jnl
No-brainer: Morphological Computation driven Adaptive Behavior in Soft Robots.
CoRR
Alican Mertan, Nick Cheney
2024 A conf
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning.
ECAI
Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney
2024 J jnl
The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health.
IEEE J. Biomed. Health Informatics
Bryn C. Loftness, Julia Halvorson-Phelan, Aisling O'Leary, Carter Bradshaw, Shania Prytherch, Isabel Berman, John B. Torous, William E. Copeland, Nick Cheney, Ryan S. McGinnis, Ellen W. McGinnis
2024 A conf
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation.
GECCO
Alican Mertan, Nick Cheney
2024 J jnl
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation.
CoRR
Alican Mertan, Nick Cheney
2023 — conf
Coping with seasons: evolutionary dynamics of gene networks in a changing environment.
GECCO Companion
Csenge Petak, Lapo Frati, Melissa Helen Pespeni, Nick Cheney
2023 — conf
Many-objective Optimization via Voting for Elites.
GECCO Companion
Jackson Dean, Nick Cheney
2023 J jnl
Many-objective Optimization via Voting for Elites.
CoRR
Jackson Dean, Nick Cheney
2023 A conf
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots.
GECCO
Alican Mertan, Nick Cheney
2023 J jnl
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots.
CoRR
Alican Mertan, Nick Cheney
2023 — conf
Neighbor-Hop Mutation for Genetic Algorithm in Influence Maximization.
GECCO Companion
Aviral Chawla, Nick Cheney
2023 A conf
OmnImage: Evolving 1k Image Cliques for Few-Shot Learning.
GECCO
Lapo Frati, Neil Traft, Nick Cheney
2023 — conf
Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy.
EMBC
Bryn C. Loftness, Ira Bernstein, Carole A. McBride, Nick Cheney, Ellen W. McGinnis, Ryan S. McGinnis
2023 J jnl
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning.
CoRR
Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney
2023 — conf
Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning.
EMBC
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
2022 J jnl
Biological underpinnings for lifelong learning machines.
Nat. Mach. Intell.
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
2022 J jnl
Editorial: Evolving Robotic Morphologies.
Frontiers Robotics AI
David Howard, Kyrre Glette, Nick Cheney
2022 J jnl
How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway.
Sensors
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
2022 — conf
UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety.
EMBC
Bryn C. Loftness, Julia Halvorson-Phelan, Aisling O'Leary, Nick Cheney, Ellen W. McGinnis, Ryan S. McGinnis
2021 J jnl
Continual learning under domain transfer with sparse synaptic bursting.
CoRR
Shawn L. Beaulieu, Jeff Clune, Nick Cheney
2021 J jnl
Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis.
IEEE J. Biomed. Health Informatics
Brett M. Meyer, Lindsey J. Tulipani, Reed D. Gurchiek, Dakota A. Allen, Lukas Adamowicz, Dale Larie, Andrew J. Solomon, Nick Cheney, Ryan S. McGinnis
2020 A conf
Learning to Continually Learn.
ECAI
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
2020 J jnl
Learning to Continually Learn.
CoRR
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
2020 C conf
Morphology dictates learnability in neural controllers.
ALIFE
Joshua P. Powers, Ryan Grindle, Sam Kriegman, Lapo Frati, Nick Cheney, Josh C. Bongard
2020 J jnl
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
Artif. Life
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
2019 J jnl
Embodiment dictates learnability in neural controllers.
CoRR
Joshua P. Powers, Ryan Grindle, Sam Kriegman, Lapo Frati, Nick Cheney, Josh C. Bongard
2019 J jnl
Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques.
Sensors
Reed D. Gurchiek, Nick Cheney, Ryan S. McGinnis
2018 A conf
Interoceptive robustness through environment-mediated morphological development.
GECCO
Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard
2018 J jnl
Interoceptive robustness through environment-mediated morphological development.
CoRR
Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard
2018 J jnl
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.
CoRR
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
2017 J jnl
A Minimal Developmental Model Can Increase Evolvability in Soft Robots.
CoRR
Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard
2017 A conf
A minimal developmental model can increase evolvability in soft robots.
GECCO
Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard
2017 J jnl
Evolutionary Developmental Soft Robotics As a Framework to Study Intelligence and Adaptive Behavior in Animals and Plants.
Frontiers Robotics AI
Francesco Corucci, Nick Cheney, Sam Kriegman, Josh C. Bongard, Cecilia Laschi
2017 J jnl
Evolving soft locomotion in aquatic and terrestrial environments: effects of material properties and environmental transitions.
CoRR
Francesco Corucci, Nick Cheney, Francesco Giorgio-Serchi, Josh C. Bongard, Cecilia Laschi
2017 J jnl
How morphological development can guide evolution.
CoRR
Sam Kriegman, Nick Cheney, Josh C. Bongard
2017 J jnl
Scalable Co-Optimization of Morphology and Control in Embodied Machines.
CoRR
Nick Cheney, Josh C. Bongard, Vytas SunSpiral, Hod Lipson
2017 — conf
Simulating the evolution of soft and rigid-body robots.
GECCO (Companion)
Sam Kriegman, Collin Cappelle, Francesco Corucci, Anton Bernatskiy, Nick Cheney, Josh C. Bongard
2016 C conf
How the Strictness of the Minimal Criterion Impacts Open-Ended Evolution.
ALIFE
Kenneth O. Stanley, Nick Cheney, Lisa B. Soros
2016 C conf
Material properties affect evolutions ability to exploit morphological computation in growing soft-bodied creatures.
ALIFE
Josh C. Bongard, Cecilia Laschi, Hod Lipson, Nick Cheney, Francesco Corucci
2016 J jnl
Topological evolution for embodied cellular automata.
Theor. Comput. Sci.
Nick Cheney, Hod Lipson
2015 A conf
Evolving Soft Robots in Tight Spaces.
GECCO
Nick Cheney, Josh C. Bongard, Hod Lipson
2013 J jnl
Hands-free Evolution of 3D-printable Objects via Eye Tracking
CoRR
Nick Cheney, Jeff Clune, Jason Yosinski, Hod Lipson
2013 A conf
Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding.
GECCO
Nick Cheney, Robert MacCurdy, Jeff Clune, Hod Lipson