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Deep equilibrium (DEQ) models are widely recognized as a memory efficient alternative to standard neural networks, achieving state-of-the-art performance in language modeling and computer vision tasks.
Perron-frobenius problem for weakly sublinear maps in a euclidean positive orthant
Oshime, Y · 1992
Earlier work this paper cites.
A framework for uplink power control in cellular radio systems
Yates, R. D · 1995
Earlier work this paper cites.
Crafting papers on machine learning
Langley, P · 2000
Earlier work this paper cites.
Iterative solution of nonlinear equations in several variables
Ortega, J. M. and Rheinboldt, W. C · 2000
Earlier work this paper cites.
Deep equilibrium learning of explicit regularization functionals for imaging inverse problems
Zou, Z., Liu, J., Wohlberg, B., and Kamilov, U. S · 2000
Earlier work this paper cites.
Fundamentals of resource allocation in wireless networks: theory and algorithms , volume 3
Stanczak, S., Wiczanowski, M., and Boche, H · 2009
Earlier work this paper cites.
Interference calculus: A general framework for interference management and network utility optimization , volume 7
Schubert, M. and Boche, H · 2011
Earlier work this paper cites.
Minimizing the moreau envelope of nonsmooth convex functions over the fixed point set of certain quasi-nonexpansive mappings
Yamada, I., Yukawa, M., and Yamagishi, M · 2011
Earlier work this paper cites.
Nonlinear Perron-Frobenius Theory , volume 189
Lemmens, B. and Nussbaum, R · 2012
Earlier work this paper cites.
Positive dynamical systems in discrete time: theory, models, and applications , volume 62
Krause, U · 2015
Earlier work this paper cites.
Elementary properties of positive concave mappings with applications to network planning and optimization
Cavalcante, R. L., Shen, Y., and Stańczak, S · 2016
Earlier work this paper cites.
Primer on monotone operator methods
Ryu, E. K. and Boyd, S · 2016
Earlier work this paper cites.
Weight normalization: A simple reparameterization to accelerate training of deep neural networks
Salimans, T. and Kingma, D. P · 2016
Earlier work this paper cites.
Convex Analysis and Monotone Operator Theory in Hilbert Spaces
Bauschke, H. H. and Combettes, P. L · 2017
Earlier work this paper cites.
Correction to: Convex Analysis and Monotone Operator Theory in Hilbert Spaces
Bauschke, H. H., Combettes, P. L., Bauschke, H. H., and Combettes, P. L · 2017
Earlier work this paper cites.
Decoupled weight decay regularization
Loshchilov, I. and Hutter, F · 2017
Earlier work this paper cites.
Neural ordinary differential equations
Chen, R. T., Rubanova, Y., Bettencourt, J., and Duvenaud, D. K · 2018
Earlier work this paper cites.
Deep equilibrium models
Bai, S., Kolter, J. Z., and Koltun, V · 2019
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Connections between spectral properties of asymptotic mappings and solutions to wireless network problems
Cavalcante, R. L., Liao, Q., and Stańczak, S · 2019
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Augmented neural odes
Dupont, E., Doucet, A., and Teh, Y. W · 2019
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The structures of sinr regions for standard interference mappings
Shindoh, S · 2019
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Multiscale deep equilibrium models
Bai, S., Koltun, V., and Kolter, J. Z · 2020
Cited alongside, same era.
Lipschitz certificates for layered network structures driven by averaged activation operators
Combettes, P. L. and Pesquet, J.-C · 2020
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Streaming multiscale deep equilibrium models
Ertenli, C. U., Akbas, E., and Cinbis, R. G · 2022
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Music source separation with deep equilibrium models
Koyama, Y., Murata, N., Uhlich, S., Fabbro, G., Takahashi, S., and Mitsufuji, Y · 2022
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The fixed point iteration of positive concave mappings converges geometrically if a fixed point exists: implications to wireless systems
Piotrowski, T. and Cavalcante, R. L. G · 2022
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Deep equilibrium approaches to diffusion models
Pokle, A., Geng, Z., and Kolter, J. Z · 2022
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Optimization induced equilibrium networks: An explicit optimization perspective for understanding equilibrium models
Xie, X., Wang, Q., Ling, Z., Li, X., Liu, G., and Lin, Z · 2022
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An efficient deep equilibrium model for medical image segmentation
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Deep implicit layers-neural odes, deep equilibirum models, and beyond
Kolter, Z., Duvenaud, D., and Johnson, M · 2020
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Lipschitz bounded equilibrium networks
Revay, M., Wang, R., and Manchester, I. R · 2020
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Some properties of sinr regions for standard interference mappings
Shindoh, S · 2020
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Monotone operator equilibrium networks
Winston, E. and Kolter, J. Z · 2020
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A note on decoding order in user grouping and power optimization for multi-cell noma with load coupling
You, L. and Yuan, D · 2020
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Implicit deep learning
El Ghaoui, L., Gu, F., Travacca, B., Askari, A., and Tsai, A · 2021
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Zhang, S., Zhu, L., and Gao, Y · 2022
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Implicit graph neural networks: a monotone operator viewpoint
Baker, J., Wang, Q., Hauck, C. D., and Wang, B · 2023
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Equilibrium image denoising with implicit differentiation
Chen, Q., Wang, Y., Geng, Z., Wang, Y., Yang, J., and Lin, Z · 2023
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One-step diffusion distillation via deep equilibrium models
Geng, Z., Pokle, A., and Kolter, J. Z · 2023
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A unified approach to nonlinear perron-frobenius theory
Lins, B · 2023
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Ul-dl duality for cell-free networks under per-ap power and information constraints
Miretti, L., Cavalcante, R. L., and Björnson, E · 2023
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Deep equilibrium models as estimators for continuous latent variables
Tsuchida, R. and Ong, C. S · 2023
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Deep equilibrium object detection
Wang, S., Teng, Y., and Wang, L · 2023
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Deep equilibrium models for snapshot compressive imaging
Zhao, Y., Zheng, S., and Yuan, X · 2023
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Deep equilibrium non-autoregressive sequence learning
Zheng, Z., Zhou, Y., and Zhou, H · 2023
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Fixed points of nonnegative neural networks
Piotrowski, T. J., Cavalcante, R. L. G., and Gabor, M · 2024
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