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PUBLICATIONS

ARTIFICIAL INTELLIGENCE AND COGNITIVE MODELS

  • Sun, Fan-Yun, Kauvar, Isaac, Zhang, Ruohan, Li, Jiachen, Kochenderfer, Mykel, Wu, Jiajun, and Haber, Nick, "Interaction Modeling with Multiplex Attention." Proceedings of Neural Information Processing Systems (NeurIPS), 2022.

  • Haber, Nick, “Curiosity and Interactive Learning in Artificial Systems,” in AI in Learning, ed. Vivitsou, Marianna, Hannele M Niemi, and Roy Pea. Springer, 2022.

  • Gan, Chuang, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius et al. "Threedworld: A platform for interactive multi-modal physical simulation." Proceedings of Neural Information Processing Systems (NeurIPS), 2021.

  • Washington, Peter, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Emilie Leblanc, Cathy Hou et al. "Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels." Cognitive Computation 13, no. 5 (2021): 1363-1373.

  • Kim, Kuno, Megumi Sano, Julian De Freitas, Nick Haber,* & Daniel LK Yamins.* "Active World Model Learning in Agent-rich Environments with Progress Curiosity." International Conference on Machine Learning (ICML), 2020.

  • Kun Ho Kim, Megumi Sano, Julian De Freitas, Nick Haber,* and Daniel LK Yamins.* "Active World Model Learning in Agent-rich Environments with Progress Curiosity." In Proceedings of the International Conference on Learning Representations Workshops, 2020.

  • Kun Ho Kim, Megumi Sano, Julian De Freitas, Daniel LK Yamins,* and Nick Haber.* "Towards modeling the developmental variability of human attention." In Proceedings of the International Conference on Learning Representations Workshops, 2020.

  • Michael Lingelbach, Damian Mrowca, Nick Haber, Li Fei-Fei, and Daniel Yamins. "Towards Curiosity-Driven Learning of Physical Dynamics." In Proceedings of the International Conference on Learning Representations Workshops, 2020.

  • Sano, Megumi, Julian De Freitas, Nick Haber,* and Daniel LK Yamins.* "Learning in social environments with curious neural agents." In Proceedings of the 40th Annual Meeting of the Cognitive Science Society. 2020.

  • Haber, Nick, Damian Mrowca, Stephanie Wang, Li F. Fei-Fei, and Daniel L. Yamins. "Learning to play with intrinsically-motivated, self-aware agents." In Advances in Neural Information Processing Systems, pp. 8388-8399. 2018.

  • Mrowca, Damian, Chengxu Zhuang, Elias Wang, Nick Haber, Li F. Fei-Fei, Josh Tenenbaum, and Daniel L. Yamins. "Flexible neural representation for physics prediction." In Advances in neural information processing systems, pp. 8799-8810. 2018.

  • Haber, Nick, Damian Mrowca, Li Fei-Fei, and Daniel LK Yamins. "Emergence of structured behaviors from curiosity-based intrinsic motivation." In Proceedings of the 40th Annual Meeting of the Cognitive Science Society. 2018.
     

LEARNING TOOLS AND AUTISM SPECTRUM DISORDER

  • Hess, Olivia, Jimmy Qian, Janine Bruce, Ellen Wang, Samuel Rodriguez, Nick Haber, and Thomas J. Caruso. "Communication Skills Training Using Remote Augmented Reality Medical Simulation: a Feasibility and Acceptability Qualitative Study." Medical Science Educator (2022): 1-10.

  • Washington, Peter, Haik Kalantarian, John Kent, Arman Husic, Aaron Kline, Emilie Leblanc, Cathy Hou et al. "Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study." JMIR Pediatrics and Parenting 5, no. 2 (2022): e26760.

  • Washington, Peter, Qandeel Tariq, Emilie Leblanc, Brianna Chrisman, Kaitlyn Dunlap, Aaron Kline, Haik Kalantarian et al. "Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection." Scientific reports 11, no. 1 (2021): 1-11.

  • Caruso, Thomas J., Olivia Hess, Kenny Roy, Ellen Wang, Samuel Rodriguez, Coby Palivathukal, and Nick Haber. "Integrated eye tracking on Magic Leap One during augmented reality medical simulation: a technical report." BMJ Simulation & Technology Enhanced Learning 7, no. 5 (2021)

  • Washington, Peter, Emilie Leblanc, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Jae-Yoon Jung, Brianna Chrisman et al. "Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder." In BIOCOMPUTING 2021: Proceedings of the Pacific Symposium, pp. 14-25. 2020.

  • Nag, Anish, Nick Haber, Catalin Voss, Serena Tamura, Jena Daniels, Jeffrey Ma, Bryan Chiang et al. "Toward Continuous Social Phenotyping: Analyzing Gaze Patterns in an Emotion Recognition Task for Children With Autism Through Wearable Smart Glasses." Journal of Medical Internet Research 22, no. 4 (2020): e13810.

  • Washington, Peter, Kelley Marie Paskov, Haik Kalantarian, Nathaniel Stockham, Catalin Voss, Aaron Kline, Ritik Patnaik et al. "Feature selection and dimension reduction of social autism data." In Pac Symp Biocomput, vol. 25, pp. 707-718. 2020.

  • Washington, Peter, Natalie Park, Parishkrita Srivastava, Catalin Voss, Aaron Kline, Maya Varma, Qandeel Tariq et al. "Data-driven diagnostics and the potential of mobile artificial intelligence for digital therapeutic phenotyping in computational psychiatry." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging (2019).

  • Kline, Aaron, Catalin Voss, Peter Washington, Nick Haber, Hessey Schwartz, Qandeel Tariq, Terry Winograd, Carl Feinstein, and Dennis P. Wall. "Superpower glass." GetMobile: Mobile Computing and Communications 23, no. 2 (2019): 35-38.

  • Washington, Peter, Haik Kalantarian, Qandeel Tariq, Jessey Schwartz, Kaitlyn Dunlap, Brianna Chrisman, Maya Varma et al. "Validity of online screening for autism: crowdsourcing study comparing paid and unpaid diagnostic tasks." Journal of medical Internet research 21, no. 5 (2019): e13668.

  • Voss, Catalin, Jessey Schwartz, Jena Daniels, Aaron Kline, Nick Haber, Peter Washington, Qandeel Tariq et al. "Effect of wearable digital intervention for improving socialization in children with autism spectrum disorder: a randomized clinical trial." JAMA pediatrics 173, no. 5 (2019): 446-454.

  • Washington, Peter, Haik Kalantarian, Qandeel Tariq, Jessey Schwartz, Kaitlyn Dunlap, Brianna Chrisman, Maya Varma et al. "Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks." Journal of medical Internet research 21, no. 6 (2019): e14950.

  • Voss, Catalin, Nick Haber, and Dennis P. Wall. "The Potential for Machine Learning–Based Wearables to Improve Socialization in Teenagers and Adults With Autism Spectrum Disorder—Reply." Jama Pediatrics 173, no. 11 (2019): 1106-1106.

  • Daniels, Jena, Jessey N. Schwartz, Catalin Voss, Nick Haber, Azar Fazel, Aaron Kline, Peter Washington, Carl Feinstein, Terry Winograd, and Dennis P. Wall. "Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism." NPJ digital medicine 1, no. 1 (2018): 1-10.

  • Daniels, Jena, Nick Haber, Catalin Voss, Jessey Schwartz, Serena Tamura, Azar Fazel, Aaron Kline et al. "Feasibility testing of a wearable behavioral aid for social learning in children with autism." Applied clinical informatics 9, no. 01 (2018): 129-140.

  • Washington, Peter, Catalin Voss, Aaron Kline, Nick Haber, Jena Daniels, Azar Fazel, Titas De, Carl Feinstein, Terry Winograd, and Dennis Wall. "SuperpowerGlass: a wearable aid for the at-home therapy of children with autism." Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies 1, no. 3 (2017): 1-22.

  • Levy, Sebastien, Marlena Duda, Nick Haber, and Dennis P. Wall. "Sparsifying machine learning models identify stable subsets of predictive features for behavioral detection of autism." Molecular autism 8, no. 1 (2017): 65.

  • Voss, Catalin, Peter Washington, Nick Haber, Aaron Kline, Jena Daniels, Azar Fazel, Titas De et al. "Superpower glass: delivering unobtrusive real-time social cues in wearable systems." In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, pp. 1218-1226. 2016.

  • Duda, M., N. Haber, J. Daniels, and D. P. Wall. "Crowdsourced validation of a machine-learning classification system for autism and ADHD." Translational psychiatry 7, no. 5 (2017): e1133-e1133.

  • Duda, M., R. Ma, N. Haber, and D. P. Wall. "Use of machine learning for behavioral distinction of autism and ADHD." Translational psychiatry 6, no. 2 (2016): e732-e732.

  • Haber, Nick, Catalin Voss, Azar Fazel, Terry Winograd, and Dennis P. Wall. "A practical approach to real-time neutral feature subtraction for facial expression recognition." In 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1-9. IEEE, 2016.
     

MATHEMATICS

  • Gell-Redman, Jesse, Nick Haber, and András Vasy. "The Feynman propagator on perturbations of Minkowski space." Communications in Mathematical Physics 342, no. 1 (2016): 333-384.

  • Haber, Nick, and András Vasy. "Propagation of singularities around a Lagrangian submanifold of radial points." In Microlocal Methods in Mathematical Physics and Global Analysis, pp. 113-116. Birkhäuser, Basel, 2013.

  • Haber, Nick, and András Vasy. "Propagation of singularities around a Lagrangian submanifold of radial points." Bull. Soc. Math. France 143 (2015), no. 4, 679–726.

  • Haber, Nick. "A normal form around a Lagrangian submanifold of radial points." International Mathematics Research Notices 2014, no. 17 (2014): 4804-4821.

  • Albert ME, Bratz JE, Cahn PA, Fargus TI, Haber NI, McMahon EL, Smith JA, Tekansik SA. Colorpermuting automorphisms of Cayley graphs. Congr. Numer. 2008;190:161-71.

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