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ORCIDNicholas Cheney
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2020 – today
- 2024
[j10]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): 2304-2313 (2024)- [c26]Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney:
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning. ECAI 2024: 2998-3005 - [c25]Alican Mertan, Nick Cheney:
Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots. EuroGP 2024: 38-55 - [c24]Alican Mertan, Nick Cheney:
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation. GECCO 2024 - [c23]Alican Mertan, Nick Cheney:
No-brainer: Morphological Computation Driven Adaptive Behavior in Soft Robots. SAB 2024: 81-92 - [i21]Alican Mertan, Nick Cheney:
Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots. CoRR abs/2402.09231 (2024) - [i20]Alican Mertan, Nick Cheney:
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation. CoRR abs/2404.14625 (2024) - [i19]Alican Mertan, Nick Cheney:
No-brainer: Morphological Computation driven Adaptive Behavior in Soft Robots. CoRR abs/2407.16613 (2024) - 2023
- [c22]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: 1-4 - [c21]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: 1-4 - [c20]Jackson Dean, Nick Cheney:
Many-objective Optimization via Voting for Elites. GECCO Companion 2023: 131-134 - [c19]Csenge Petak, Lapo Frati, Melissa Helen Pespeni, Nick Cheney:
Coping with seasons: evolutionary dynamics of gene networks in a changing environment. GECCO Companion 2023: 163-166 - [c18]Alican Mertan, Nick Cheney:
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots. GECCO 2023: 174-183 - [c17]Aviral Chawla, Nick Cheney:
Neighbor-Hop Mutation for Genetic Algorithm in Influence Maximization. GECCO Companion 2023: 187-190 - [c16]Lapo Frati, Neil Traft, Nick Cheney:
OmnImage: Evolving 1k Image Cliques for Few-Shot Learning. GECCO 2023: 476-484 - [c15]Will Thompson, Alex Freidrichsen, Christopher M. Danforth, Peter Sheridan Dodds, Nicholas Cheney:
Evolving Robust Facility Placements. GECCO Companion 2023: 775-778 - [i18]Ollin D. Langle-Chimal, Scott C. Merrill, Eric M. Clark, Gabriela Bucini, Tung-Lin Liu, Trisha R. Shrum, Christopher Koliba, Asim Zia, Julia M. Smith, Nicholas Cheney:
Temporal Evolution of Risk Behavior in a Disease Spread Simulation. CoRR abs/2305.16600 (2023) - [i17]Alican Mertan, Nick Cheney:
Modular Controllers Facilitate the Co-Optimization of Morphology and Control in Soft Robots. CoRR abs/2306.09358 (2023) - [i16]Jackson Dean, Nick Cheney:
Many-objective Optimization via Voting for Elites. CoRR abs/2307.02661 (2023) - [i15]Joshua R. Minot, Marc Maier, Bradford Demarest, Nicholas Cheney, Christopher M. Danforth, Peter Sheridan Dodds, Morgan R. Frank:
The Resume Paradox: Greater Language Differences, Smaller Pay Gaps. CoRR abs/2307.08580 (2023) - [i14]Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney:
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning. CoRR abs/2310.07996 (2023) - 2022
- [j9]David Howard, Kyrre Glette, Nick Cheney:
Editorial: Evolving Robotic Morphologies. Frontiers Robotics AI 9: 874853 (2022) - [j8]Joshua R. Minot, Nicholas Cheney, Marc Maier, Danne C. Elbers, Christopher M. Danforth, Peter Sheridan Dodds:
Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance. ACM Trans. Comput. Heal. 3(4): 39:1-39:41 (2022) - [j7]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): 196-210 (2022) - [j6]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): 6982 (2022) - [c14]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: 1141-1144 - 2021
- [j5]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): 1824-1831 (2021) - [i13]Joshua R. Minot, Nicholas Cheney, Marc Maier, Danne C. Elbers, Christopher M. Danforth, Peter Sheridan Dodds:
Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance. CoRR abs/2103.05841 (2021) - [i12]Shawn L. Beaulieu, Jeff Clune, Nick Cheney:
Continual learning under domain transfer with sparse synaptic bursting. CoRR abs/2108.12056 (2021) - 2020
- [j4]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): 274-306 (2020) - [c13]Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney:
Learning to Continually Learn. ECAI 2020: 992-1001 - [c12]Joshua P. Powers, Ryan Grindle, Sam Kriegman, Lapo Frati, Nick Cheney, Josh C. Bongard:
Morphology dictates learnability in neural controllers. ALIFE 2020: 52-59 - [i11]Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney:
Learning to Continually Learn. CoRR abs/2002.09571 (2020)
2010 – 2019
- 2019
- [j3]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): 5227 (2019) - [i10]Eric M. Clark, Scott C. Merrill, Luke Trinity, Gabriela Bucini, Nicholas Cheney, Ollin Langle-Chimal, Trisha Shrum, Christopher Koliba, Asim Zia, Julia M. Smith:
Using Digital Field Experiments To Elicit Risk Mitigation Behavioral Strategies For Disease Management Across Agricultural Production Systems. CoRR abs/1909.12905 (2019) - [i9]Joshua P. Powers, Ryan Grindle, Sam Kriegman, Lapo Frati, Nick Cheney, Josh C. Bongard:
Embodiment dictates learnability in neural controllers. CoRR abs/1910.07487 (2019) - 2018
- [c11]Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard:
Interoceptive robustness through environment-mediated morphological development. GECCO 2018: 109-116 - [c10]Shaya Wolf, Rafer Cooley, Mike Borowczak, Nicholas Cheney:
EVO-SCHIRP: Evolved Secure Swarm Communications. ISC2 2018: 1-4 - [i8]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 abs/1803.03453 (2018) - [i7]Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard:
Interoceptive robustness through environment-mediated morphological development. CoRR abs/1804.02257 (2018) - 2017
- [j2]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: 34 (2017) - [c9]Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard:
A minimal developmental model can increase evolvability in soft robots. GECCO 2017: 131-138 - [c8]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: 1117-1120 - [i6]Nicholas Cheney, Martin Schrimpf, Gabriel Kreiman:
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations. CoRR abs/1703.08245 (2017) - [i5]Nick Cheney, Josh C. Bongard, Vytas SunSpiral, Hod Lipson:
Scalable Co-Optimization of Morphology and Control in Embodied Machines. CoRR abs/1706.06133 (2017) - [i4]Sam Kriegman, Nick Cheney, Francesco Corucci, Josh C. Bongard:
A Minimal Developmental Model Can Increase Evolvability in Soft Robots. CoRR abs/1706.07296 (2017) - [i3]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 abs/1711.06605 (2017) - [i2]Sam Kriegman, Nick Cheney, Josh C. Bongard:
How morphological development can guide evolution. CoRR abs/1711.07387 (2017) - 2016
- [j1]Nick Cheney, Hod Lipson:
Topological evolution for embodied cellular automata. Theor. Comput. Sci. 633: 19-27 (2016) - [c7]Kenneth O. Stanley, Nick Cheney, Lisa B. Soros:
How the Strictness of the Minimal Criterion Impacts Open-Ended Evolution. ALIFE 2016: 208-215 - [c6]Hod Lipson, Vytas SunSpiral, Josh C. Bongard, Nicholas Cheney:
On the Difficulty of Co-Optimizing Morphology and Control in Evolved Virtual Creatures. ALIFE 2016: 226-233 - [c5]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: 234-241 - 2015
- [c4]Nick Cheney, Josh C. Bongard, Hod Lipson:
Evolving Soft Robots in Tight Spaces. GECCO 2015: 935-942 - 2014
- [c3]Nicholas Cheney, Jeff Clune, Hod Lipson:
Evolved Electrophysiological Soft Robots. ALIFE 2014: 222-229 - [c2]Nicholas Cheney, Ethan Ritz, Hod Lipson:
Automated vibrational design and natural frequency tuning of multi-material structures. GECCO 2014: 1079-1086 - 2013
- [c1]Nick Cheney, Robert MacCurdy, Jeff Clune, Hod Lipson:
Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding. GECCO 2013: 167-174 - [i1]Nick Cheney, Jeff Clune, Jason Yosinski, Hod Lipson:
Hands-free Evolution of 3D-printable Objects via Eye Tracking. CoRR abs/1304.4889 (2013)
Coauthor Index
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