Natasha Jaques

92 papers A* 19B 6C 1Journal 52Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgenticRed: Optimizing Agentic Systems for Automated Red-teaming. CoRR Jiayi Yuan, Jonathan Nöther, Natasha Jaques, Goran Radanovic
2026	J	`jnl`	Are Language Models Sensitive to Morally Irrelevant Distractors? CoRR Andrew Shaw, Christina Hahn, Catherine Rasgaitis, Yash Mishra, Alisa Liu, Natasha Jaques, Yulia Tsvetkov, Amy X. Zhang
2026	J	`jnl`	How LLMs Distort Our Written Language. CoRR Marwa Abdulhai, Isadora White, Yanming Wan, Ibrahim Qureshi, Joel Z. Leibo, Max Kleiman-Weiner, Natasha Jaques
2026	J	`jnl`	Improving Interactive In-Context Learning from Natural Language Feedback. CoRR Martin Klissarov, Jonathan Cook, Diego Antognini, Hao Sun, Jingling Li, Natasha Jaques, Claudiu Musat, Edward Grefenstette
2026	J	`jnl`	Maximizing mutual information between user-contexts and responses improve LLM personalization with no additional data. CoRR Hyunji Nam, Haoran Li, Natasha Jaques
2025	A*	`conf`	Achieving Human Level Competitive Robot Table Tennis. ICRA David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi
2025	J	`jnl`	Adaptive Accompaniment with ReaLchords. CoRR Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron C. Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang
2025	J	`jnl`	An Efficient Open World Environment for Multi-Agent Social Learning. CoRR Eric Ye, Ren Tao, Natasha Jaques
2025	J	`jnl`	AutoCode: LLMs as Problem Setters for Competitive Programming. CoRR Shang Zhou, Zihan Zheng, Kaiyuan Liu, Zeyu Shen, Zerui Cheng, Zexing Chen, Hansen He, Jianzhu Yao, Huanzhi Mao, Qiuyang Mang, Tianfu Fu, Beichen Li, Dongruixuan Li, Wenhao Chai, Zhuang Liu, Aleksandra Korolova, Peter Henderson, Natasha Jaques, Pramod Viswanath, Saining Xie, Jingbo Shang
2025	J	`jnl`	Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models. CoRR Mickel Liu, Liwei Jiang, Yancheng Liang, Simon Shaolei Du, Yejin Choi, Tim Althoff, Natasha Jaques
2025	J	`jnl`	Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning. CoRR Marwa Abdulhai, Ryan Cheng, Donovan Clay, Tim Althoff, Sergey Levine, Natasha Jaques
2025	B	`conf`	Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination. CogSci Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon S. Du, Natasha Jaques, Max Kleiman-Weiner
2025	A*	`conf`	Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination. ICML Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon Shaolei Du, Max Kleiman-Weiner, Natasha Jaques
2025	J	`jnl`	Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination. CoRR Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon S. Du, Max Kleiman-Weiner, Natasha Jaques
2025	J	`jnl`	Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward. CoRR Yanming Wan, Jiaxing Wu, Marwa Abdulhai, Lior Shani, Natasha Jaques
2025	J	`jnl`	Evaluating & Reducing Deceptive Dialogue From Language Models with Multi-turn RL. CoRR Marwa Abdulhai, Ryan Cheng, Aryansh Shrivastava, Natasha Jaques, Yarin Gal, Sergey Levine
2025	J	`jnl`	Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia. CoRR Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit S. Trivedi, Alexander Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P. Agapiou, Jayd Matyas, Danny Karmon, Dylan Hadfield-Menell, Natasha Jaques, Tim Baarslag, José Hernández-Orallo, Joel Z. Leibo
2025	J	`jnl`	Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction. CoRR Yusong Wu, Stephen Brade, Teng Ma, Tia-Jane Fowler, Enning Yang, Berker Banar, Aaron C. Courville, Natasha Jaques, Cheng-Zhi Anna Huang
2025	J	`jnl`	Generative Modeling for Robust Deep Reinforcement Learning on the Traveling Salesman Problem. CoRR Michael Li, Eric Bae, Christopher Haberland, Natasha Jaques
2025	J	`jnl`	Improving Human-AI Coordination through Adversarial Training and Generative Models. CoRR Paresh Chaudhary, Yancheng Liang, Daphne Chen, Simon S. Du, Natasha Jaques
2025	A*	`conf`	Infer Human's Intentions Before Following Natural Language Instructions. AAAI Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques
2025	A*	`conf`	InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma. ICLR Xiaoxuan Hou, Jiayi Yuan, Joel Z. Leibo, Natasha Jaques
2025	J	`jnl`	Learning Pluralistic User Preferences through Reinforcement Learning Fine-tuned Summaries. CoRR Hyunji Nam, Yanming Wan, Mickel Liu, Jianxun Lian, Natasha Jaques
2025	J	`jnl`	Modeling Others' Minds as Code. CoRR Kunal Jha, Aydan Yuenan Huang, Eric Ye, Natasha Jaques, Max Kleiman-Weiner
2025	A*	`conf`	Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems. AAAI Joshua Holder, Natasha Jaques, Mehran Mesbahi
2025	J	`jnl`	Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping. CoRR Srivatsan Krishnan, Jason Jabbour, Dan Zhang, Natasha Jaques, Aleksandra Faust, Shayegan Omidshafiei, Vijay Janapa Reddi
2025	J	`jnl`	RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments. CoRR Zhiyuan Zeng, Hamish Ivison, Yiping Wang, Lifan Yuan, Shuyue Stella Li, Zhuorui Ye, Siting Li, Jacqueline He, Runlong Zhou, Tong Chen, Chenyang Zhao, Yulia Tsvetkov, Simon Shaolei Du, Natasha Jaques, Hao Peng, Pang Wei Koh, Hannaneh Hajishirzi
2025	—	`conf`	ReaLJam: Real-Time Human-AI Music Jamming with Reinforcement Learning-Tuned Transformers. CHI Extended Abstracts Alexander Scarlatos, Yusong Wu, Ian Simon, Adam Roberts, Tim Cooijmans, Natasha Jaques, Cassie Tarakajian, Cheng-Zhi Anna Huang
2025	J	`jnl`	ReaLJam: Real-Time Human-AI Music Jamming with Reinforcement Learning-Tuned Transformers. CoRR Alexander Scarlatos, Yusong Wu, Ian Simon, Adam Roberts, Tim Cooijmans, Natasha Jaques, Cassie Tarakajian, Cheng-Zhi Anna Huang
2025	J	`jnl`	SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning. CoRR Bo Liu, Leon Guertler, Simon Yu, Zichen Liu, Penghui Qi, Daniel Balcells, Mickel Liu, Cheston Tan, Weiyan Shi, Min Lin, Wee Sun Lee, Natasha Jaques
2024	J	`jnl`	Achieving Human Level Competitive Robot Table Tennis. CoRR David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi
2024	A*	`conf`	Adaptive Accompaniment with ReaLchords. ICML Yusong Wu, Tim Cooijmans, Kyle Kastner, Adam Roberts, Ian Simon, Alexander Scarlatos, Chris Donahue, Cassie Tarakajian, Shayegan Omidshafiei, Aaron C. Courville, Pablo Samuel Castro, Natasha Jaques, Cheng-Zhi Anna Huang
2024	J	`jnl`	Infer Human's Intentions Before Following Natural Language Instructions. CoRR Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques
2024	J	`jnl`	InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma. CoRR Xiaoxuan Hou, Jiayi Yuan, Joel Z. Leibo, Natasha Jaques
2024	A*	`conf`	Learning to Cooperate with Humans using Generative Agents. NeurIPS Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon S. Du, Natasha Jaques
2024	J	`jnl`	Learning to Cooperate with Humans using Generative Agents. CoRR Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon S. Du, Natasha Jaques
2024	A*	`conf`	Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence. NeurIPS Rakshit S. Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, Dipam Chakraborty, John P. Agapiou, Jayd Matyas, Alexander Sasha Vezhnevets, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoganaras, Yue Zhao, Marko Tesic, Natasha Jaques, Jakob N. Foerster, Vincent Conitzer, José Hernández-Orallo, Dylan Hadfield-Menell, Joel Z. Leibo
2024	A*	`conf`	Moral Foundations of Large Language Models. EMNLP Marwa Abdulhai, Gregory Serapio-García, Clément Crepy, Daria Valter, John Canny, Natasha Jaques
2024	J	`jnl`	Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems. CoRR Joshua Holder, Natasha Jaques, Mehran Mesbahi
2024	A*	`conf`	Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning. NeurIPS Sriyash Poddar, Yanming Wan, Hamish Ivison, Abhishek Gupta, Natasha Jaques
2024	J	`jnl`	Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning. CoRR Sriyash Poddar, Yanming Wan, Hamish Ivison, Abhishek Gupta, Natasha Jaques
2023	J	`jnl`	Moral Foundations of Large Language Models. CoRR Marwa Abdulhai, Gregory Serapio-García, Clément Crepy, Daria Valter, John Canny, Natasha Jaques
2023	J	`jnl`	Tackling Climate Change with Machine Learning. ACM Comput. Surv. David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio
2022	J	`jnl`	Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience. CoRR Marwa Abdulhai, Natasha Jaques, Sergey Levine
2022	J	`jnl`	Environment Generation for Zero-Shot Compositional Reinforcement Learning. CoRR Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust
2022	J	`jnl`	Impossibility Theorems for Feature Attribution. CoRR Blair L. Bilodeau, Natasha Jaques, Pang Wei Koh, Been Kim
2022	A*	`conf`	Less is More: Generating Grounded Navigation Instructions from Landmarks. CVPR Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson
2022	J	`jnl`	Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration. CoRR Srivatsan Krishnan, Natasha Jaques, Shayegan Omidshafiei, Dan Zhang, Izzeddin Gur, Vijay Janapa Reddi, Aleksandra Faust
2021	J	`jnl`	Adversarial Environment Generation for Learning to Navigate the Web. CoRR Izzeddin Gur, Natasha Jaques, Kevin Malta, Manoj Tiwari, Honglak Lee, Aleksandra Faust
2021	A*	`conf`	Emergent Social Learning via Multi-agent Reinforcement Learning. ICML Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques
2021	A*	`conf`	Environment Generation for Zero-Shot Compositional Reinforcement Learning. NeurIPS Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust
2021	J	`jnl`	Explore and Control with Adversarial Surprise. CoRR Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine
2021	J	`jnl`	Joint Attention for Multi-Agent Coordination and Social Learning. CoRR Dennis Lee, Natasha Jaques, J. Chase Kew, Douglas Eck, Dale Schuurmans, Aleksandra Faust
2021	J	`jnl`	Less is More: Generating Grounded Navigation Instructions from Landmarks. CoRR Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson
2021	A*	`conf`	PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. ICML Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar
2021	J	`jnl`	PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. CoRR Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar
2020	A*	`conf`	Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. NeurIPS Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine
2020	J	`jnl`	Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design. CoRR Michael Dennis, Natasha Jaques, Eugene Vinitsky, Alexandre M. Bayen, Stuart Russell, Andrew Critch, Sergey Levine
2020	A*	`conf`	Hierarchical Reinforcement Learning for Open-Domain Dialog. AAAI Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard
2020	J	`jnl`	Human-centric Dialog Training via Offline Reinforcement Learning. CoRR Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, Àgata Lapedriza, Noah Jones, Shixiang Shane Gu, Rosalind W. Picard
2020	—	`conf`	Human-centric dialog training via offline reinforcement learning. EMNLP (1) Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, Àgata Lapedriza, Noah Jones, Shixiang Gu, Rosalind W. Picard
2020	J	`jnl`	Multi-agent Social Reinforcement Learning Improves Generalization. CoRR Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques
2020	J	`jnl`	Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health. IEEE Trans. Affect. Comput. Sara Taylor, Natasha Jaques, Ehimwenma Nosakhare, Akane Sano, Rosalind W. Picard
2020	—	`conf`	Reinforcement learning from Affective Cues in Dialogue. AffCon@AAAI Natasha Jaques
2019	—	`conf`	Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation. ACII Workshops Noah Jones, Natasha Jaques, Pat Pataranutaporn, Asma Ghandeharioun, Rosalind W. Picard
2019	A*	`conf`	Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems. NeurIPS Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Àgata Lapedriza, Rosalind W. Picard
2019	J	`jnl`	Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems. CoRR Asma Ghandeharioun, Judy Hanwen Shen, Natasha Jaques, Craig Ferguson, Noah Jones, Àgata Lapedriza, Rosalind W. Picard
2019	J	`jnl`	Hierarchical Reinforcement Learning for Open-Domain Dialog. CoRR Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard
2019	A*	`conf`	Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. ICML Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
2019	J	`jnl`	Tackling Climate Change with Machine Learning. CoRR David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio
2019	J	`jnl`	Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog. CoRR Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Àgata Lapedriza, Noah Jones, Shixiang Gu, Rosalind W. Picard
2018	J	`jnl`	Intrinsic Social Motivation via Causal Influence in Multi-Agent RL. CoRR Natasha Jaques, Angeliki Lazaridou, Edward Hughes, Çaglar Gülçehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas
2018	—	`conf`	Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback. AffComp@IJCAI Natasha Jaques, Jennifer McCleary, Jesse H. Engel, David Ha, Fred Bertsch, Douglas Eck, Rosalind W. Picard
2018	—	`conf`	Learning via social awareness: improving sketch representations with facial feedback. ICLR (Workshop) Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck
2018	J	`jnl`	Learning via social awareness: improving sketch representations with facial feedback. CoRR Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck
2018	—	`conf`	Vomit Comet Physiology: Autonomic Changes in Novice Flyers. EMBC Kristina T. Johnson, Sara Taylor, Szymon Fedor, Natasha Jaques, Weixuan Chen, Rosalind W. Picard
2017	B	`conf`	Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction. ACII Natasha Jaques, Sara Taylor, Akane Sano, Rosalind W. Picard
2017	—	`conf`	Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation. AffComp@IJCAI Natasha Jaques, Ognjen (Oggi) Rudovic, Sara Taylor, Akane Sano, Rosalind W. Picard
2017	A*	`conf`	Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control. ICML Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, José Miguel Hernández-Lobato, Richard E. Turner, Douglas Eck
2017	—	`conf`	Tuning Recurrent Neural Networks with Reinforcement Learning. ICLR (Workshop) Natasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck
2016	—	`conf`	BITxBIT: Encouraging Behavior Change with N=2 Experiments. CHI Extended Abstracts Natasha Jaques, Travis Rich, Karthik Dinakar, Niaja Farve, Weixuan 'Vincent' Chen, Pattie Maes, Rosalind W. Picard, Kevin Slavin
2016	B	`conf`	Personality, Attitudes, and Bonding in Conversations. IVA Natasha Jaques, Yoo Lim Kim, Rosalind W. Picard
2016	J	`jnl`	Tuning Recurrent Neural Networks with Reinforcement Learning. CoRR Natasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck
2016	B	`conf`	Understanding and Predicting Bonding in Conversations Using Thin Slices of Facial Expressions and Body Language. IVA Natasha Jaques, Daniel McDuff, Yoo Lim Kim, Rosalind W. Picard
2015	—	`conf`	Automatic identification of artifacts in electrodermal activity data. EMBC Sara Taylor, Natasha Jaques, Weixuan 'Vincent' Chen, Szymon Fedor, Akane Sano, Rosalind W. Picard
2015	B	`conf`	Predicting students' happiness from physiology, phone, mobility, and behavioral data. ACII Natasha Jaques, Sara Taylor, Asaph Azaria, Asma Ghandeharioun, Akane Sano, Rosalind W. Picard
2015	—	`conf`	Prediction of Happy-Sad mood from daily behaviors and previous sleep history. EMBC Akane Sano, Amy Z. Yu, Andrew W. McHill, Andrew J. K. Phillips, Sara Taylor, Natasha Jaques, Elizabeth B. Klerman, Rosalind W. Picard
2015	C	`conf`	Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones. BSN Akane Sano, Andrew J. K. Phillips, Amy Z. Yu, Andrew W. McHill, Sara Taylor, Natasha Jaques, Charles A. Czeisler, Elizabeth B. Klerman, Rosalind W. Picard
2015	—	`conf`	SmileTracker: Automatically and Unobtrusively Recording Smiles and their Context. CHI Extended Abstracts Natasha Jaques, Weixuan 'Vincent' Chen, Rosalind W. Picard
2015	—	`conf`	Wavelet-based motion artifact removal for electrodermal activity. EMBC Weixuan Chen, Natasha Jaques, Sara Taylor, Akane Sano, Szymon Fedor, Rosalind W. Picard
2014	B	`conf`	Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System. Intelligent Tutoring Systems Natasha Jaques, Cristina Conati, Jason M. Harley, Roger Azevedo
2013	J	`jnl`	Understanding Attention to Adaptive Hints in Educational Games: An Eye-Tracking Study. Int. J. Artif. Intell. Educ. Cristina Conati, Natasha Jaques, Mary Muir