Natasha Jaques
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
13
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems. | Joshua Holder, Natasha Jaques, Mehran Mesbahi |
| 2025 | AAAI | Infer Human's Intentions Before Following Natural Language Instructions. | Yanming Wan, Yue Wu, Yiping Wang, Jiayuan Mao, Natasha Jaques |
| 2025 | CHI | ReaLJam: Real-Time Human-AI Music Jamming with Reinforcement Learning-Tuned Transformers. | Alexander Scarlatos, Yusong Wu, Ian Simon, Adam Roberts, Tim Cooijmans, Natasha Jaques, Cassie Tarakajian, Cheng-Zhi Anna Huang |
| 2025 | CogSci | Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination. | Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon S. Du, Natasha Jaques, Max Kleiman-Weiner |
| 2025 | ICLR | InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma. | Xiaoxuan Hou, Jiayi Yuan, Joel Z. Leibo, Natasha Jaques |
| 2025 | ICML | Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination. | Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon Shaolei Du, Max Kleiman-Weiner, Natasha Jaques |
| 2025 | ICRA | Achieving Human Level Competitive Robot Table Tennis. | 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 | EMNLP | Moral Foundations of Large Language Models. | Marwa Abdulhai, Gregory Serapio-Garca, Clment Crepy, Daria Valter, John Canny, Natasha Jaques |
| 2024 | ICML | Adaptive Accompaniment with ReaLchords. | 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 |
| 2022 | CVPR | Less is More: Generating Grounded Navigation Instructions from Landmarks. | Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson |
| 2021 | ICML | PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning. | Angelos Filos, Clare Lyle, Yarin Gal, Sergey Levine, Natasha Jaques, Gregory Farquhar |
| 2021 | ICML | Emergent Social Learning via Multi-agent Reinforcement Learning. | Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques |
| 2020 | AAAI | Reinforcement learning from Affective Cues in Dialogue. | Natasha Jaques |
| 2020 | AAAI | Hierarchical Reinforcement Learning for Open-Domain Dialog. | Abdelrhman Saleh, Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Rosalind W. Picard |
| 2020 | EMNLP | Human-centric dialog training via offline reinforcement learning. | Natasha Jaques, Judy Hanwen Shen, Asma Ghandeharioun, Craig Ferguson, gata Lapedriza, Noah Jones, Shixiang Gu, Rosalind W. Picard |
| 2019 | ACII | Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation. | Noah Jones, Natasha Jaques, Pat Pataranutaporn, Asma Ghandeharioun, Rosalind W. Picard |
| 2019 | ICML | Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning. | Natasha Jaques, Angeliki Lazaridou, Edward Hughes, aglar Glehre, Pedro A. Ortega, DJ Strouse, Joel Z. Leibo, Nando de Freitas |
| 2018 | ICLR | Learning via social awareness: improving sketch representations with facial feedback. | Natasha Jaques, Jesse H. Engel, David Ha, Fred Bertsch, Rosalind W. Picard, Douglas Eck |
| 2018 | IJCAI | Learning via Social Awareness: Improving a Deep Generative Sketching Model with Facial Feedback. | Natasha Jaques, Jennifer McCleary, Jesse H. Engel, David Ha, Fred Bertsch, Douglas Eck, Rosalind W. Picard |
| 2017 | ACII | Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction. | Natasha Jaques, Sara Taylor, Akane Sano, Rosalind W. Picard |
| 2017 | ICLR | Tuning Recurrent Neural Networks with Reinforcement Learning. | Natasha Jaques, Shixiang Gu, Richard E. Turner, Douglas Eck |
| 2017 | ICML | Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control. | Natasha Jaques, Shixiang Gu, Dzmitry Bahdanau, Jos Miguel Hernndez-Lobato, Richard E. Turner, Douglas Eck |
| 2017 | IJCAI | Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation. | Natasha Jaques, Ognjen (Oggi) Rudovic, Sara Taylor, Akane Sano, Rosalind W. Picard |
| 2016 | CHI | BITxBIT: Encouraging Behavior Change with N=2 Experiments. | Natasha Jaques, Travis Rich, Karthik Dinakar, Niaja Farve, Weixuan 'Vincent' Chen, Pattie Maes, Rosalind W. Picard, Kevin Slavin |
| 2016 | IVA | Personality, Attitudes, and Bonding in Conversations. | Natasha Jaques, Yoo Lim Kim, Rosalind W. Picard |
| 2016 | IVA | Understanding and Predicting Bonding in Conversations Using Thin Slices of Facial Expressions and Body Language. | Natasha Jaques, Daniel McDuff, Yoo Lim Kim, Rosalind W. Picard |
| 2015 | ACII | Predicting students' happiness from physiology, phone, mobility, and behavioral data. | Natasha Jaques, Sara Taylor, Asaph Azaria, Asma Ghandeharioun, Akane Sano, Rosalind W. Picard |
| 2015 | CHI | SmileTracker: Automatically and Unobtrusively Recording Smiles and their Context. | Natasha Jaques, Weixuan 'Vincent' Chen, Rosalind W. Picard |
| 2015 | BSN | Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones. | 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 |
| 2014 | ITS | Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring System. | Natasha Jaques, Cristina Conati, Jason M. Harley, Roger Azevedo |