fixed point

Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation NeurIPS 2022 State Dependent Performative Prediction with Stochastic Approximation AISTATS 2022 Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems NeurIPS 2021 Convergence of Opinion Diffusion is PSPACE-Complete AAAI 2020 Fast and Deep Graph Neural Networks AAAI 2020 Monotone operator equilibrium networks NeurIPS 2020 Belief Propagation: Accurate Marginals or Accurate Partition Function – Where is the Difference? UAI 2019 Universality and individuality in neural dynamics across large populations of recurrent networks NeurIPS 2019 Mixed Precision Training of Convolutional Neural Networks using Integer Operations ICLR 2018 Uniqueness of Belief Propagation on Signed Graphs NeurIPS 2011 On the Convergence Properties of Contrastive Divergence AISTATS 2010 Worst-case bounds on the quality of max-product fixed-points NeurIPS 2010 Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation NeurIPS 2009 Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria NeurIPS 2007