conftrace_

taylor series expansion

8 papers

Explore in graph

Co-occurring keywords · papers mentioning both

high-order derivative (1) taylor series (1) feature caching (1) nonlinear likelihood (1) statistical linearization (1) continuous state-action (1) improved fast gauss transform (1) neural network (1) partial differential equation solver (1) expert policy (1)

Papers

From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers ICCV 2025 Batch Normalization Is Blind to the First and Second Derivatives of the Loss AAAI 2024 SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations AAAI 2024 Taylor TD-learning NeurIPS 2023 TaSIL: Taylor Series Imitation Learning NeurIPS 2022 Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems NeurIPS 2021 Extended and Unscented Gaussian Processes NeurIPS 2014 Automatic online tuning for fast Gaussian summation NeurIPS 2008