Similar Items
Mathematically rigorous proofs for Shapley explanations
by: van Batenburg, David
Published: (2025)
by: van Batenburg, David
Published: (2025)
Extraction of linearized models from pre-trained networks via knowledge distillation
by: Kimura, Fumito, et al.
Published: (2026)
by: Kimura, Fumito, et al.
Published: (2026)
Share, Collaborate, Benchmark: Advancing Travel Demand Research through rigorous open-source collaboration
by: Caicedo, Juan D., et al.
Published: (2023)
by: Caicedo, Juan D., et al.
Published: (2023)
Subgroup detection in linear growth curve models with generalized linear mixed model (GLMM) trees
by: Fokkema, Marjolein, et al.
Published: (2023)
by: Fokkema, Marjolein, et al.
Published: (2023)
An introduction to reinforcement learning for neuroscience
by: Jensen, Kristopher T.
Published: (2023)
by: Jensen, Kristopher T.
Published: (2023)
An introduction to R package `mvs`
by: van Loon, Wouter
Published: (2025)
by: van Loon, Wouter
Published: (2025)
An introduction to Causal Modelling
by: Baishya, Gauranga Kumar
Published: (2025)
by: Baishya, Gauranga Kumar
Published: (2025)
User-friendly introduction to PAC-Bayes bounds
by: Alquier, Pierre
Published: (2021)
by: Alquier, Pierre
Published: (2021)
An introduction to graphical tensor notation for mechanistic interpretability
by: Taylor, Jordan K.
Published: (2024)
by: Taylor, Jordan K.
Published: (2024)
Iterative thresholding for non-linear learning in the strong $\varepsilon$-contamination model
by: Rathnashyam, Arvind, et al.
Published: (2024)
by: Rathnashyam, Arvind, et al.
Published: (2024)
Improving clinical interpretability of linear neuroimaging models through feature whitening
by: Petiton, Sara, et al.
Published: (2026)
by: Petiton, Sara, et al.
Published: (2026)
Causal discovery for linear causal model with correlated noise: an Adversarial Learning Approach
by: Zhou, Mujin, et al.
Published: (2026)
by: Zhou, Mujin, et al.
Published: (2026)
Square root Cox's survival analysis by the fittest linear and neural networks model
by: van Cutsem, Maxime, et al.
Published: (2025)
by: van Cutsem, Maxime, et al.
Published: (2025)
Dirichlet process mixtures of block $g$ priors for model selection and prediction in linear models
by: Porwal, Anupreet, et al.
Published: (2024)
by: Porwal, Anupreet, et al.
Published: (2024)
Universality laws for Gaussian mixtures in generalized linear models
by: Dandi, Yatin, et al.
Published: (2023)
by: Dandi, Yatin, et al.
Published: (2023)
Simultaneous inference for generalized linear models with unmeasured confounders
by: Du, Jin-Hong, et al.
Published: (2023)
by: Du, Jin-Hong, et al.
Published: (2023)
Is completeness necessary? Estimation in nonidentified linear models
by: Babii, Andrii, et al.
Published: (2017)
by: Babii, Andrii, et al.
Published: (2017)
Non-linear reduced modeling of dynamical systems using kernel methods and low-rank approximation
by: Héas, Patrick, et al.
Published: (2017)
by: Héas, Patrick, et al.
Published: (2017)
Escaping mediocrity: how two-layer networks learn hard generalized linear models with SGD
by: Arnaboldi, Luca, et al.
Published: (2023)
by: Arnaboldi, Luca, et al.
Published: (2023)
Parameter identification in linear non-Gaussian causal models under general confounding
by: Tramontano, Daniele, et al.
Published: (2024)
by: Tramontano, Daniele, et al.
Published: (2024)
A unified framework for learning with nonlinear model classes from arbitrary linear samples
by: Adcock, Ben, et al.
Published: (2023)
by: Adcock, Ben, et al.
Published: (2023)
Matrix Decomposition and Applications
by: Lu, Jun
Published: (2022)
by: Lu, Jun
Published: (2022)
Interpretable non-linear dimensionality reduction using gaussian weighted linear transformation
by: Bergh, Erik
Published: (2025)
by: Bergh, Erik
Published: (2025)
Meta-learning of shared linear representations beyond well-specified linear regression
by: Even, Mathieu, et al.
Published: (2025)
by: Even, Mathieu, et al.
Published: (2025)
Learning linear acyclic causal model including Gaussian noise using ancestral relationships
by: Cai, Ming, et al.
Published: (2024)
by: Cai, Ming, et al.
Published: (2024)
Simple linear attention language models balance the recall-throughput tradeoff
by: Arora, Simran, et al.
Published: (2024)
by: Arora, Simran, et al.
Published: (2024)
Sobolev neural network with residual weighting as a surrogate in linear and non-linear mechanics
by: Kilicsoy, A. O. M., et al.
Published: (2024)
by: Kilicsoy, A. O. M., et al.
Published: (2024)
Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model
by: Aanes, Fredrik Lohne
Published: (2025)
by: Aanes, Fredrik Lohne
Published: (2025)
Divergence-kernel method for linear responses of densities and generative models
by: Ni, Angxiu
Published: (2025)
by: Ni, Angxiu
Published: (2025)
A solvable generative model with a linear, one-step denoiser
by: Halder, Indranil
Published: (2024)
by: Halder, Indranil
Published: (2024)
Interpreting and generalizing deep learning in physics-based problems with functional linear models
by: Arzani, Amirhossein, et al.
Published: (2023)
by: Arzani, Amirhossein, et al.
Published: (2023)
A universal linearized subspace refinement framework for neural networks
by: Cao, Wenbo, et al.
Published: (2026)
by: Cao, Wenbo, et al.
Published: (2026)
Self-attention-based non-linear basis transformations for compact latent space modelling of dynamic optical fibre transmission matrices
by: Zheng, Yijie, et al.
Published: (2024)
by: Zheng, Yijie, et al.
Published: (2024)
Sharp analysis of linear ensemble sampling
by: Akhavan, Arya, et al.
Published: (2026)
by: Akhavan, Arya, et al.
Published: (2026)
Kullback-Leibler excess risk bounds for exponential weighted aggregation in Generalized linear models
by: Mai, The Tien
Published: (2025)
by: Mai, The Tien
Published: (2025)
Exploration via linearly perturbed loss minimisation
by: Janz, David, et al.
Published: (2023)
by: Janz, David, et al.
Published: (2023)
On the optimal regret of collaborative personalized linear bandits
by: Huang, Bruce, et al.
Published: (2025)
by: Huang, Bruce, et al.
Published: (2025)
An extension of linear self-attention for in-context learning
by: Hagiwara, Katsuyuki
Published: (2025)
by: Hagiwara, Katsuyuki
Published: (2025)
Transformers are almost optimal metalearners for linear classification
by: Magen, Roey, et al.
Published: (2025)
by: Magen, Roey, et al.
Published: (2025)
Noise scheduling and linear dynamics in diffusion models on Lie groups
by: Komijani, Javad
Published: (2026)
by: Komijani, Javad
Published: (2026)
Similar Items
-
Mathematically rigorous proofs for Shapley explanations
by: van Batenburg, David
Published: (2025) -
Extraction of linearized models from pre-trained networks via knowledge distillation
by: Kimura, Fumito, et al.
Published: (2026) -
Share, Collaborate, Benchmark: Advancing Travel Demand Research through rigorous open-source collaboration
by: Caicedo, Juan D., et al.
Published: (2023) -
Subgroup detection in linear growth curve models with generalized linear mixed model (GLMM) trees
by: Fokkema, Marjolein, et al.
Published: (2023) -
An introduction to reinforcement learning for neuroscience
by: Jensen, Kristopher T.
Published: (2023)