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Bibliography

All references cited across Mochi Lab. Use [@key] in any markdown file to cite a reference.

Showing 740 of 740 references

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@yao2024taubenchinproceedings
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Akari Asai, Zeqiu Wu, Yizhong Wang, et al. (2024) — ICLR
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Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman (2024) — ICML
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@peng2023yarninproceedings
Bowen Peng, Jeffrey Quesnelle, Honglu Fan, et al. (2024) — ICLR
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@zhang2024restmctsinproceedings
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Epoch AI (2024) — Epoch AI
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@meng2024pissainproceedings
Fanxu Meng, Zhaohui Wang, Muhan Zhang (2024) — Advances in Neural Information Processing Systems (NeurIPS) 38
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Hao Liu, Matei Zaharia, Pieter Abbeel (2024) — ICLR
@liu2023ringinproceedings
Hao Liu, Matei Zaharia, Pieter Abbeel (2024) — ICLR
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@ansel2024pytorch2inproceedings
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@chen2024rgbinproceedings
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Jiawei Zhao, Zhenyu Zhang, Beidi Chen, et al. (2024) — ICML
Jing Yu Koh, Robert Lo, Lawrence Jang, et al. (2024) — ACL
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Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al. (2024) — NeurIPS
Liyuan Wang, Xingxing Zhang, Hang Su, et al. (2024) — IEEE TPAMI
Masashi Okada, Tadahiro Taniguchi (2024) — arXiv
Maximilian Beck, Korbinian Poppel, Markus Spanring (2024) — NeurIPS
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OpenAI (2024) — OpenAI Technical Report
OpenAI (2024) — OpenAI Blog
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@villalobos2024datainproceedings
Pablo Villalobos, Anson Ho, Jaime Sevilla, et al. (2024) — International Conference on Machine Learning (ICML)
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Perplexity AI (2024) — Perplexity Blog
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Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, et al. (2024) — ICML
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Simran Arora, Sabri Eyuboglu, Michael Zhang (2024) — ICML
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Tianbao Xie, Danyang Zhang, Jixuan Chen, et al. (2024) — NeurIPS
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Tianle Cai, Yuhong Li, Zhengyang Geng, et al. (2024) — ICML
Tianyu Gao, Howard Yen, Jiatong Yu, et al. (2024) — EMNLP
Tianzhu Ye, Li Dong, Yuqing Xia, et al. (2024) — arXiv
Tianzhu Ye, Li Dong, Yuqing Xia, et al. (2024) — arXiv
Tuo Wang, Guangming Wang, Yanfeng Wang, et al. (2024) — arXiv
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Weijia Shi, Sewon W. Han, Mike Lewis (2024) — NAACL Findings
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@wang2024dramainproceedings
Wenlong Wang, Ivana Dusparic, Yucheng Shi, et al. (2024) — International Conference on Learning Representations (ICLR) 2025
Wenzhao Zheng, Weiliang Chen, Yuanhui Huang, et al. (2024) — ECCV
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Xiang Deng, Yu Gu, Boyuan Zheng (2024) — NeurIPS
Xiao Liu, Hao Yu, Hanchen Zhang, et al. (2024) — ICLR
Xiao Yang, Kai Sun, Hao Xin, et al. (2024) — arXiv
Xingyao Wang, Boxuan Li, Yufan Song, et al. (2024) — arXiv
Xuezhi Wang, Denny Zhou (2024) — arXiv
Yijia Shao, Yucheng Jiang, Theodore A. Kanell (2024) — NAACL
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Ying Sheng, Shiyi Cao, Dacheng Li, et al. (2024) — MLSys
Yuhong Li, Yingbing Huang, Bowen Yang, et al. (2024) — arXiv
@qin2023toolllminproceedings
Yujia Qin, Shihao Liang, Yining Ye, et al. (2024) — ICLR
Zhangyin Feng, Xiaocheng Feng, Dongyan Zhao, et al. (2024) — EMNLP Findings
Zhenting Qi, Mingyuan Ma, Jiahang Xu, et al. (2024) — arXiv preprint arXiv:2408.06195
Ziyan Jiang, Xueguang Ma, Wenhu Chen (2024) — arXiv
Aman Madaan, Niket Tandon, Prakhar Gupta, et al. (2023) — NeurIPS
Amro Abbas, Kushal Tirumala, Daniel Simig, et al. (2023) — arXiv
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Anthony Hu, Lloyd Russell, Hudson Yeo, et al. (2023) — arXiv
Bo Jiang, Shaoyu Chen, Qing Xu, et al. (2023) — ICCV
Bo Peng, Eric Alcaide, Quentin Anthony (2023) — EMNLP Findings
@bonev2023sphericalinproceedings
Boris Bonev, Thorsten Kurth, Christian Hundt, et al. (2023) — International Conference on Machine Learning (ICML)
Charlie Chen, Sebastian Borgeaud, Geoffrey Irving (2023) — arXiv
Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, et al. (2023) — arXiv
Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, et al. (2023) — arXiv
Denny Zhou, Nathanael Scharli, Le Hou, et al. (2023) — ICLR
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Epoch AI (2023) — Epoch AI Research
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Google DeepMind (2023) — Google DeepMind
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Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm (2023) — CL
@phung2023wavediffinproceedings
Hao Phung, Quan Dao, Anh Tran (2023) — CVPR
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Kaifeng Bi, Lingxi Xie, Hengheng Zhang, et al. (2023) — Nature
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Kshitij Gupta, Benjamin Acting, Yi Tay (2023) — ICML Workshop
@lee2023pretrainedinproceedings
Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang (2023) — WACV
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng (2023) — NeurIPS
Luyu Gao, Xueguang Ma, Jimmy Lin, et al. (2023) — ACL
Marc Masana, Xialei Liu, Bartlomiej Twardowski (2023) — IEEE TPAMI
Melanie Mitchell, David C. Krakauer (2023) — PNAS
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Michael Poli, Stefano Massaroli, Eric Nguyen (2023) — ICML
Neel Nanda, Andrew Lee, Martin Wattenberg (2023) — NeurIPS ATTRIB Workshop
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Omar Khattab, Keshav Santhanam, Xiang Lisa Li, et al. (2023) — arXiv
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Rafael Rafailov, Archit Sharma, Eric Mitchell, et al. (2023) — NeurIPS
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Shunyu Yao, Jeffrey Zhao, Dian Yu (2023) — ICLR
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Significant Gravitas (2023) — GitHub
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Wenlong Huang, Fei Xia, Ted Xiao, et al. (2023) — CoRL
@peebles2023ditinproceedings
William Peebles, Saining Xie (2023) — ICCV
@liu2023flowinproceedings
Xingchao Liu, Chengyue Gong, Qiang Liu (2023) — ICLR
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Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, et al. (2023) — ICLR
Yihan Hu, Jiazhi Yang, Li Chen, et al. (2023) — CVPR
Younggyo Seo, Danijar Hafner, Hao Liu, et al. (2023) — CoRL
Yuanzhi Li, Sebastien Bubeck, Ronen Eldan, et al. (2023) — arXiv
@lu2023maximizinginproceedings
Yucheng Lu, Conglong Li, Minjia Zhang, et al. (2023) — International Conference on Learning Representations (ICLR)
Yujia Qin, Shengding Hu, Yankai Lin (2023) — arXiv
Yunzhi Yao, Peng Wang, Bozhong Tian, et al. (2023) — EMNLP
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@li2023gtearticle
Zehan Li, Xin Zhang, Yanzhao Zhang, et al. (2023) — arXiv
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@lu2022dpminproceedings
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Chunyun Li (2022) — ACM Computing Surveys
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@ho2022cfgarticle
Jonathan Ho, Tim Salimans (2022) — NeurIPS Workshop
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Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch (2022) — NeurIPS
Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al. (2022) — NAACL
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Matteo Boschini, Lorenzo Bonicelli, Pietro Buzzega, et al. (2022) — IEEE TPAMI
Nicklas Hansen, Xiaolong Su, Xiaolong Wang (2022) — ICML
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Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann (2022) — ICML
@brody2022howinproceedings
Shaked Brody, Uri Alon, Eran Yahav (2022) — ICLR
Shunyu Yao, Howard Chen, John Yang, et al. (2022) — NeurIPS
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Uriel Singer, Adam Polyak, Thomas Hayes, et al. (2022) — arXiv
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Yann Lecun (2022) — openreview.net
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Yujia Li, David Choi, Junyoung Chung (2022) — Science
Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, et al. (2022) — CVPR
Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, et al. (2022) — ECCV
@radford2021clipinproceedings
Alec Radford, Jong Wook Kim, Chris Hallacy, et al. (2021) — ICML
@nichol2021improvedinproceedings
Alexander Quinn Nichol, Prafulla Dhariwal (2021) — ICML
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Armen Aghajanyan, Luke Zettlemoyer, Sonal Gupta (2021) — ACL
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Dan Hendrycks, Collin Burns, Steven Basart, et al. (2021) — ICLR
Dan Hendrycks, Steven Basart, Saurav Kadavath, et al. (2021) — NeurIPS
Danijar Hafner, Timothy Lillicrap, Mohammad Norouzi, et al. (2021) — ICLR
Deepak Narayanan, Mohammad Shoeybi, Jared Casper (2021) — SC
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Donald Metzler, Yi Tay, Dara Bahri, et al. (2021) — SIGIR Forum
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@tang2021onebitinproceedings
Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, et al. (2021) — International Conference on Machine Learning (ICML)
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Hongjoon Ahn, Jihwan Kwak, Subin Lim, et al. (2021) — ICCV
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@cohen2021gradientinproceedings
Jeremy M. Cohen, Simran Kaur, Yuanzhi Li, et al. (2021) — ICLR
@song2021denoisinginproceedings
Jiaming Song, Chenlin Meng, Stefano Ermon (2021) — ICLR
@alman2021refinedinproceedings
Josh Alman, Virginia Vassilevska Williams (2021) — ACM-SIAM Symposium on Discrete Algorithms (SODA)
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan (2021) — ICLR
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@foret2021saminproceedings
Pierre Foret, Ariel Kleiner, Hossein Mobahi, et al. (2021) — ICLR
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Xiang Lisa Li, Percy Liang (2021) — ACL
@song2021scoreinproceedings
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Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, et al. (2020) — ICML
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Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert (2020) — Nature
Kelvin Guu, Kenton Lee, Zora Tung, et al. (2020) — ICML
Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos (2020) — ICLR
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Mark Chen, Alec Radford, Rewon Child, et al. (2020) — ICML
Martin Aumuller, Erik Bernhardsson, Alexander Faithfull (2020) — Information Systems
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Ting Chen, Simon Kornblith, Mohammad Norouzi, et al. (2020) — ICML
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Philippe Tillet, H. T. Kung, David Cox (2019) — Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages (MAPL)
Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars (2019) — CVPR
Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars, et al. (2019) — NeurIPS
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Sudeep Dasari, Frederik Ebert, Stephen Tian, et al. (2019) — CoRL
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Umut Simsekli, Levent Sagun, Mert Gurbuzbalaban (2019) — Proceedings of the 36th International Conference on Machine Learning (ICML), PMLR v97
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Cosme Louart, Zhenyu Liao, Romain Couillet (2018) — Annals of Applied Probability
David Ha, Juergen Schmidhuber (2018) — arXiv
David Ha, Jurgen Schmidhuber (2018) — NeurIPS
David Silver, Thomas Hubert, Julian Schrittwieser, et al. (2018) — Science
Emily Denton, Rob Fergus (2018) — ICML
Felix Draxler, Kambis Veschgini, Manfred Salmhofer, et al. (2018) — ICML
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Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, et al. (2018) — NeurIPS
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Zhilin Yang, Peng Qi, Saizheng Zhang (2018) — EMNLP
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Brandon Amos, J. Zico Kolter (2017) — ICML
Chelsea Finn, Pieter Abbeel, Sergey Levine (2017) — ICML
Chelsea Finn, Pieter Abbeel, Sergey Levine (2017) — ICML
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David Lopez-Paz, Marc'Aurelio Ranzato (2017) — NeurIPS
David Silver, Julian Schrittwieser, Karen Simonyan, et al. (2017) — Nature
Deepak Pathak, Pulkit Agrawal, Alexei A. Efros, et al. (2017) — ICML
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Guy Katz, Clark Barrett, David L. Dill, et al. (2017) — International Conference on Computer Aided Verification (CAV)
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James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz (2017) — PNAS
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Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al. (2017) — ICML
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Kenneth L. Clarkson, David P. Woodruff (2017) — JACM
Mandar Joshi, Eunsol Choi, Daniel S. Weld, et al. (2017) — ACL
Martin Arjovsky, Soumith Chintala, Leon Bottou (2017) — ICML
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Nitish Shirish Keskar, Dheevatsa Mudigere, Jorge Nocedal, et al. (2017) — ICLR
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Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, et al. (2017) — ICCV
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Ian Goodfellow, Yoshua Bengio, Aaron Courville (2016) — MIT Press
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John Schulman, Philipp Moritz, Sergey Levine, et al. (2016) — ICLR
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al. (2016) — CVPR
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Matus Telgarsky (2016) — Conference on Learning Theory (COLT)
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst (2016) — NeurIPS
Michael Mathieu, Camille Couprie, Yann LeCun (2016) — ICLR
Moritz Hardt, Ben Recht, Yoram Singer (2016) — ICML
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Ronen Eldan, Ohad Shamir (2016) — Conference on Learning Theory (COLT)
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Stephane Mallat (2016) — Phil. Trans. R. Soc. A
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Alexandr Andoni, Piotr Indyk, Thijs Laarhoven, et al. (2015) — NeurIPS
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Danica J. Sutherland, Jeff Schneider (2015) — Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence (UAI)
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Diederik P. Kingma, Jimmy Ba (2015) — ICLR
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Edouard Oyallon, Stephane Mallat (2015) — IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Geoffrey Hinton, Oriol Vinyals, Jeff Dean (2015) — NeurIPS Workshop
Joel A. Tropp (2015) — Foundations and Trends in Machine Learning
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, et al. (2015) — NeurIPS
Junyoung Chung, Sungjin Ahn, Yoshua Bengio (2015) — arXiv
Kaiming He, Xiangyu Zhang, Shaoqing Ren, et al. (2015) — ICCV
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Naftali Tishby, Noga Zaslavsky (2015) — IEEE Information Theory Workshop (ITW)
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Olaf Ronneberger, Philipp Fischer, Thomas Brox (2015) — MICCAI
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Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan, et al. (2015) — ICML (PMLR v37)
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Guido Montufar, Razvan Pascanu, Kyunghyun Cho, et al. (2014) — Advances in Neural Information Processing Systems (NeurIPS)
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, et al. (2014) — NeurIPS
Joakim Anden, Stephane Mallat (2014) — IEEE Transactions on Signal Processing
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Stefan Wager, Sida Wang, Percy Liang (2013) — NeurIPS
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Max Welling, Yee Whye Teh (2011) — Proceedings of the 28th International Conference on Machine Learning (ICML)
Emmanuel J. Candes, Benjamin Recht (2009) — Foundations of Computational Mathematics
Judea Pearl (2009) — Cambridge University Press
Kilian Weinberger, Anirban Dasgupta, John Langford, et al. (2009) — ICML
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Yoshua Bengio, Jerome Louradour, Ronan Collobert, et al. (2009) — ICML
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Leon Bottou, Olivier Bousquet (2008) — NeurIPS
Stephane Mallat (2008) — Academic Press
Wickliffe C. Abraham (2008) — Nature Reviews Neuroscience
Ali Rahimi, Benjamin Recht (2007) — NeurIPS
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David L. Donoho (2006) — IEEE Transactions on Information Theory
Emmanuel J. Candes, Justin Romberg, Terence Tao (2006) — IEEE Transactions on Information Theory
Gilbert Strang (2006) — Thomson Brooks/Cole
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Thomas M. Cover, Joy A. Thomas (2006) — Wiley-Interscience
Thomas S. Ferguson (2006) — Mathematics Department, UCLA
Aapo Hyvärinen (2005) — Journal of Machine Learning Research
Graham Cormode, S. Muthukrishnan (2005) — Journal of Algorithms
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David A. McAllester (1999) — COLT
Naftali Tishby, Fernando C. Pereira, William Bialek (1999) — Proceedings of the 37th Annual Allerton Conference on Communication, Control and Computing
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James L. McClelland, Bruce L. McNaughton, Randall C. O'Reilly (1995) — Psychological Review
Rajeev Motwani, Prabhakar Raghavan (1995) — Cambridge University Press
Stephen E. Robertson, Steve Walker, Susan Jones, et al. (1995) — TREC
Daniel L. Ruderman (1994) — Network: Computation in Neural Systems
Michael I. Jordan, Robert A. Jacobs (1994) — Neural Computation
Ingrid Daubechies (1992) — SIAM
Yves Meyer (1992) — Cambridge University Press (Cambridge Studies in Advanced Mathematics 37)
Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, et al. (1991) — Neural Computation
George Cybenko (1989) — Mathematics of Control, Signals and Systems
Michael McCloskey, Neal J. Cohen (1989) — Psychology of Learning and Motivation
Stephane Mallat (1989) — IEEE Transactions on Pattern Analysis and Machine Intelligence
@blum1989traininginproceedings
Avrim L. Blum, Ronald L. Rivest (1988) — Advances in Neural Information Processing Systems (NIPS)
Jeffrey S. Vitter (1985) — ACM Transactions on Mathematical Software
Leslie G. Valiant (1984) — Communications of the ACM
William B. Johnson, Joram Lindenstrauss (1984) — Contemporary Mathematics
Yurii Nesterov (1983) — Doklady Akademii Nauk SSSR (Soviet Mathematics Doklady)
Erkki Oja (1982) — Journal of Mathematical Biology
Stephen Grossberg (1980) — Psychological Review
Vladimir N. Vapnik, Alexey Ya. Chervonenkis (1971) — Theory of Probability and Its Applications
Burton H. Bloom (1970) — Communications of the ACM
James W. Cooley, John W. Tukey (1965) — Mathematics of Computation, vol. 19, no. 90, pp. 297-301
Herbert Robbins, Sutton Monro (1951) — Annals of Mathematical Statistics
Solomon Kullback, Richard A. Leibler (1951) — Annals of Mathematical Statistics
Kenneth J. W. Craik (1943) — Cambridge University Press
Alan M. Turing (1936) — Proceedings of the London Mathematical Society
Andrey N. Kolmogorov (1933) — Julius Springer