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Nick Haber
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- affiliation: Stanford University, CA, USA
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2020 – today
- 2024
- [c27]Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtering Inversion. 3DV 2024: 453-463 - [c26]Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber:
ContextRef: Evaluating Referenceless Metrics for Image Description Generation. ICLR 2024 - [c25]Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman:
Hypothesis Search: Inductive Reasoning with Language Models. ICLR 2024 - [c24]Karen D. Wang
, Haoyu Liu
, David DeLiema
, Nick Haber
, Shima Salehi
:
Discovering Players' Problem-Solving Behavioral Characteristics in a Puzzle Game through Sequence Mining. LAK 2024: 498-506 - [c23]Sierra Wang
, John C. Mitchell
, Nick Haber
, Chris Piech
:
Math IDE: A Platform for Creating with Math. SIGCSE (2) 2024: 1844-1845 - [i28]Eric Zelikman, Georges Harik, Yijia Shao, Varuna Jayasiri, Nick Haber, Noah D. Goodman:
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking. CoRR abs/2403.09629 (2024) - [i27]Wengxi Li, Roy Pea, Nick Haber, Hariharan Subramonyam:
Tutorly: Turning Programming Videos Into Apprenticeship Learning Environments with LLMs. CoRR abs/2405.12946 (2024) - [i26]Gabriel Poesia, David Broman, Nick Haber, Noah D. Goodman:
Learning Formal Mathematics From Intrinsic Motivation. CoRR abs/2407.00695 (2024) - [i25]Logan Cross, Violet Xiang, Agam Bhatia, Daniel L. K. Yamins, Nick Haber:
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models. CoRR abs/2407.07086 (2024) - 2023
- [c22]Chris Doyle, Sarah Shader, Michelle Lau, Megumi Sano, Daniel L. K. Yamins, Nick Haber:
Developmental Curiosity and Social Interaction in Virtual Agents. CogSci 2023 - [c21]Julio Martinez, Felix Jedidja Binder, Haoliang Wang, Nick Haber, Judith E. Fan, Daniel Yamins:
Measuring and Modeling Physical Intrinsic Motivation. CogSci 2023 - [c20]Haoyu Liu, Fan-Yun Sun, Frieda Rong, Kumiko Nakajima, Nicholas Haber, Shima Salehi:
Characterizing Learning Progress of Problem-Solvers Using Puzzle-Solving Log Data. EDM 2023 - [c19]Eric Zelikman, Wanjing Anya Ma, Jasmine E. Tran, Diyi Yang, Jason D. Yeatman, Nick Haber:
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency. EMNLP 2023: 2190-2205 - [c18]Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber:
Curious Replay for Model-based Adaptation. ICML 2023: 16018-16048 - [c17]Merve Cerit
, Daniela Vainer
, Nick Haber
:
Tingets 2.0: Computer Vision-Powered Interactive Social and Emotional Learning Tool. LDT 2023: 53-59 - [c16]Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber:
Parsel🦆: Algorithmic Reasoning with Language Models by Composing Decompositions. NeurIPS 2023 - [i24]Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtered Inversion. CoRR abs/2304.00673 (2023) - [i23]Chris Doyle, Sarah Shader, Michelle Lau, Megumi Sano, Daniel L. K. Yamins, Nick Haber:
Developmental Curiosity and Social Interaction in Virtual Agents. CoRR abs/2305.13396 (2023) - [i22]Julio Martinez, Felix J. Binder, Haoliang Wang, Nick Haber, Judith E. Fan, Daniel L. K. Yamins:
Measuring and Modeling Physical Intrinsic Motivation. CoRR abs/2305.13452 (2023) - [i21]Eric Zelikman, Qian Huang, Percy Liang, Nick Haber, Noah D. Goodman:
Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness. CoRR abs/2306.10015 (2023) - [i20]Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber:
Curious Replay for Model-based Adaptation. CoRR abs/2306.15934 (2023) - [i19]Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman:
Hypothesis Search: Inductive Reasoning with Language Models. CoRR abs/2309.05660 (2023) - [i18]Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber:
ContextRef: Evaluating Referenceless Metrics For Image Description Generation. CoRR abs/2309.11710 (2023) - [i17]Eric Zelikman, Wanjing Anya Ma, Jasmine E. Tran, Diyi Yang, Jason D. Yeatman, Nick Haber:
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency. CoRR abs/2310.06837 (2023) - [i16]Karen D. Wang, Eric Burkholder, Carl E. Wieman, Shima Salehi, Nick Haber:
Examining the Potential and Pitfalls of ChatGPT in Science and Engineering Problem-Solving. CoRR abs/2310.08773 (2023) - [i15]Violet Xiang, Logan Cross, Jan-Philipp Fränken, Nick Haber:
From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning. CoRR abs/2312.08662 (2023) - [i14]Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark:
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CoRR abs/2312.09067 (2023) - 2022
- [c15]Samaher Radwan, Aaron Kline, Alejandro Galindo, Michael C. Frank, Dennis P. Wall, Nick Haber:
Measuring social curiosity-driven attentional differences in children with autism using an augmented reality-based phone app. CogSci 2022 - [c14]Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. NeurIPS 2022 - [i13]Peter Washington, Onur Cezmi Mutlu, Aaron Kline, Kelley M. Paskov, Nate Tyler Stockham, Brianna Sierra Chrisman, Nick Deveaux, Mourya Surhabi, Nick Haber, Dennis P. Wall:
Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images. CoRR abs/2201.11197 (2022) - [i12]Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. CoRR abs/2208.10660 (2022) - [i11]Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber:
Parsel: A Unified Natural Language Framework for Algorithmic Reasoning. CoRR abs/2212.10561 (2022) - 2021
- [j6]Peter Washington
, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Nate Tyler Stockham, Brianna Sierra Chrisman
, Kelley Marie Paskov, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall:
Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels. Cogn. Comput. 13(5): 1363-1373 (2021) - [c13]Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel Bear, Dan Gutfreund, David D. Cox, Antonio Torralba, James J. DiCarlo, Josh Tenenbaum, Josh H. McDermott, Dan Yamins:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. NeurIPS Datasets and Benchmarks 2021 - [c12]Peter Washington, Émilie Leblanc
, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Jae-Yoon Jung, Brianna Sierra Chrisman, Min Woo Sun, Nate Tyler Stockham, Kelley Marie Paskov, Haik Kalantarian, Catalin Voss, Nick Haber, Dennis P. Wall:
Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder. PSB 2021 - [i10]Peter Washington, Onur Cezmi Mutlu, Émilie Leblanc
, Aaron Kline, Cathy Hou, Brianna Sierra Chrisman, Nate Tyler Stockham, Kelley M. Paskov, Catalin Voss, Nick Haber, Dennis P. Wall:
Using Crowdsourcing to Train Facial Emotion Machine Learning Models with Ambiguous Labels. CoRR abs/2101.03477 (2021) - 2020
- [c11]Megumi Sano, Julian De Freitas, Nick Haber, Daniel L. K. Yamins:
Learning in Social Environments with Curious Neural Agents. CogSci 2020 - [c10]Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins:
Active World Model Learning with Progress Curiosity. ICML 2020: 5306-5315 - [c9]Peter Washington, Kelley Marie Paskov, Haik Kalantarian, Nate Tyler Stockham, Catalin Voss, Aaron Kline, Ritik Patnaik, Brianna Sierra Chrisman, Maya Varma, Qandeel Tariq, Kaitlyn Dunlap, Jessey N. Schwartz, Nick Haber, Dennis P. Wall:
Feature Selection and Dimension Reduction of Social Autism Data. PSB 2020: 707-718 - [i9]Catalin Voss, Nick Haber, Peter Washington, Aaron Kline, Beth McCarthy, Jena Daniels, Azar Fazel, Titas De, Carl Feinstein, Terry Winograd, Dennis P. Wall:
Designing a Holistic At-Home Learning Aid for Autism. CoRR abs/2002.04263 (2020) - [i8]Catalin Voss, Peter Washington, Nick Haber, Aaron Kline, Jena Daniels, Azar Fazel, Titas De, Beth McCarthy, Carl Feinstein, Terry Winograd, Dennis P. Wall:
Superpower Glass: Delivering Unobtrusive Real-time Social Cues in Wearable Systems. CoRR abs/2002.06581 (2020) - [i7]Nick Haber, Catalin Voss, Jena Daniels, Peter Washington, Azar Fazel, Aaron Kline, Titas De, Terry Winograd, Carl Feinstein, Dennis P. Wall:
A Wearable Social Interaction Aid for Children with Autism. CoRR abs/2004.14281 (2020) - [i6]Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. CoRR abs/2007.04954 (2020) - [i5]Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins:
Active World Model Learning with Progress Curiosity. CoRR abs/2007.07853 (2020) - [i4]Peter Washington, Haik Kalantarian, Jack Kent, Arman Husic, Aaron Kline, Émilie Leblanc
, Cathy Hou, Cezmi Mutlu, Kaitlyn Dunlap, Yordan Penev, Maya Varma, Nate Tyler Stockham, Brianna Sierra Chrisman, Kelley M. Paskov, Min Woo Sun, Jae-Yoon Jung, Catalin Voss, Nick Haber, Dennis P. Wall:
Training an Emotion Detection Classifier using Frames from a Mobile Therapeutic Game for Children with Developmental Disorders. CoRR abs/2012.08678 (2020)
2010 – 2019
- 2019
- [j5]Haik Kalantarian
, Peter Washington
, Jessey N. Schwartz, Jena Daniels, Nick Haber, Dennis P. Wall:
Guess What? J. Heal. Informatics Res. 3(1): 43-66 (2019) - [j4]Aaron Kline, Catalin Voss, Peter Washington, Nick Haber, Jessey N. Schwartz, Qandeel Tariq, Terry Winograd, Carl Feinstein, Dennis P. Wall:
Superpower Glass. GetMobile Mob. Comput. Commun. 23(2): 35-38 (2019) - 2018
- [j3]Jena Daniels, Nick Haber, Catalin Voss, Jessey N. Schwartz, Serena Tamura, Azar Fazel, Aaron Kline, Peter Washington
, Jennifer Phillips
, Terry Winograd, Carl Feinstein, Dennis P. Wall:
Feasibility Testing of a Wearable Behavioral Aid for Social Learning in Children with Autism. Appl. Clin. Inform. 09(01): 129-140 (2018) - [j2]Jena Daniels
, Jessey N. Schwartz, Catalin Voss, Nick Haber, Azar Fazel, Aaron Kline, Peter Washington
, Carl Feinstein, Terry Winograd, Dennis P. Wall
:
Exploratory study examining the at-home feasibility of a wearable tool for social-affective learning in children with autism. npj Digit. Medicine 1 (2018) - [c8]Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins:
Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation. CogSci 2018 - [c7]Haik Kalantarian, Peter Washington, Jessey N. Schwartz, Jena Daniels, Nick Haber, Dennis P. Wall:
A Gamified Mobile System for Crowdsourcing Video for Autism Research. ICHI 2018: 350-352 - [c6]Nick Haber, Damian Mrowca, Stephanie Wang, Li Fei-Fei, Daniel L. K. Yamins:
Learning to Play With Intrinsically-Motivated, Self-Aware Agents. NeurIPS 2018: 8398-8409 - [c5]Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Josh Tenenbaum, Daniel L. K. Yamins:
Flexible neural representation for physics prediction. NeurIPS 2018: 8813-8824 - [i3]Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins:
Learning to Play with Intrinsically-Motivated Self-Aware Agents. CoRR abs/1802.07442 (2018) - [i2]Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins:
Emergence of Structured Behaviors from Curiosity-Based Intrinsic Motivation. CoRR abs/1802.07461 (2018) - [i1]Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins:
Flexible Neural Representation for Physics Prediction. CoRR abs/1806.08047 (2018) - 2017
- [j1]Peter Washington, Catalin Voss, Aaron Kline, Nick Haber, Jena Daniels, Azar Fazel, Titas De, Carl Feinstein, Terry Winograd, Dennis P. Wall:
SuperpowerGlass: A Wearable Aid for the At-Home Therapy of Children with Autism. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 112:1-112:22 (2017) - 2016
- [c4]Rafael A. Calvo, Nick Haber, Catalin Voss, Michael Nova, Dennis Salins, Michael Snyder, Dennis P. Wall:
Invited Talks at the AAAI Symposium on Well-Being Computing. AAAI Spring Symposia 2016 - [c3]Peter Washington, Catalin Voss, Nick Haber, Serena Tanaka, Jena Daniels, Carl Feinstein, Terry Winograd, Dennis P. Wall:
A Wearable Social Interaction Aid for Children with Autism. CHI Extended Abstracts 2016: 2348-2354 - [c2]Catalin Voss, Peter Washington, Nick Haber, Aaron Kline, Jena Daniels, Azar Fazel, Titas De, Beth McCarthy, Carl Feinstein, Terry Winograd, Dennis P. Wall:
Superpower glass: delivering unobtrusive real-time social cues in wearable systems. UbiComp Adjunct 2016: 1218-1226 - [c1]Nick Haber, Catalin Voss, Azar Fazel, Terry Winograd, Dennis P. Wall:
A practical approach to real-time neutral feature subtraction for facial expression recognition. WACV 2016: 1-9
Coauthor Index
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last updated on 2024-08-17 23:34 CEST by the dblp team
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