[59] Geoffrey Hinton. The Forward-Forward Algorithm: Some Preliminary Investigations. 2022. arXiv: 2212.13345 [cs.LG]. 2.
[60] Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine. "Elucidating the design space of diffusion-based generative models". arXiv preprint arXiv:2206.00364 (2022). 2, 16.
[61] Frederic Koehler, Alexander Heckett, and Andrej Risteski. "Statistical Efficiency of Score Matching: The View from Isoperimetry" (Oct. 2022). arXiv: 2210.00726 [cs.LG]. 2.
[62] Yi Ma, Doris Tsao, and Heung-Yeung Shum. "On the principles of parsimony and self-consistency for the emergence of intelligence". Frontiers of Information Technology & Electronic Engineering 23.9 (2022), pp. 1298-1323. 1, 3.
[63] Druv Pai, Michael Psenka, Chih-Yuan Chiu, Manxi Wu, Edgar Dobriban, and Yi Ma. "Pursuit of a discriminative representation for multiple subspaces via sequential games". arXiv preprint arXiv:2206.09120 (2022). 2.
[64] Mary Phuong and Marcus Hutter. "Formal algorithms for transformers". arXiv preprint arXiv:2207.09238 (2022). 21.
[65] Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. "High-resolution image synthesis with latent diffusion models". Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022, pp. 10684-10695. 1, 2.
[66] Chitwan Sahara, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi. "Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding" (May 2022). arXiv: 2205.11487 [cs.CV]. 1.
[67] Asher Trockman, Devin Willmott, and J Zico Kolter. “Understanding the Covariance Structure of Convolutional Filters” (Oct. 2022). arXiv: 2210.03651 [cs.CV]. 23.
[68] Rene Vidal. Attention: Self-Expression Is All You Need. Unpublished; available: https://openreview.net/forum?id=MmujBClawFo.2022.2.
[69] Haoqing Wang, Xun Guo, Zhi-Hong Deng, and Yan Lu. "Rethinking minimal sufficient representation in contrastive learning". Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022, pp. 16041-16050. 2.
[70] John Wright and Yi Ma. High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications. Cambridge University Press, 2022. 4, 22, 23.
[71] Yongyi Yang, Zengfeng Huang, and David P Wipf. "Transformers from an Optimization Perspective". Advances in Neural Information Processing Systems. Ed. by S Koyejo, S Mohamed, A Agarwal, D Belgrave, K Cho, and A Oh. Vol. 35. Curran Associates, Inc., 2022, pp. 36958-36971. 2.
[72] Sitan Chen, Giannis Daras, and Alexandros G Dimakis. "Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-Type Samplers" (Mar. 2023). arXiv: 2303.03384 [cs.LG]. 5.
[73] Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Yao Liu, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, et al. "Symbolic discovery of optimization algorithms". arXiv preprint arXiv:2302.06675 (2023). 8, 26.
[74] Brent De Weerdt, Yonina C Eldar, and Nikos Deligiannis. "Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding". ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). June 2023, pp. 1-5. 2.
[75] Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, et al. "Scaling vision transformers to 22 billion parameters". arXiv preprint arXiv:2302.05442 (2023). 1.
[76] Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J Zaki, and Dmitry Krotov. "Energy Transformer" (Feb. 2023). arXiv: 2302.07253 [cs.LG]. 2.
[77] Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, Piotr Dólar, and Ross Girshick. "Segment Anything" (Apr. 2023). arXiv: 2304.02643 [cs.CV]. 1.