Skip to content
conftrace_

independent component analysis

131 papers

ICA

Papers

Near-optimal fitting of ellipsoids to random points COLT 2023 On the Identifiability of Sparse ICA without Assuming Non-Gaussianity NeurIPS 2023 Scale Invariant Power Iteration JMLR 2023 When are post-hoc conceptual explanations identifiable? UAI 2023 Artistic Style Discovery With Independent Components CVPR 2022 Discovery of Single Independent Latent Variable NeurIPS 2022 Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA CLeaR 2022 High-Dimensional Projection Pursuit: Outer Bounds and Applications to Interpolation in Neural Networks COLT 2022 On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis ICML 2022 Out-of-Distribution Detection via Conditional Kernel Independence Model NeurIPS 2022 Provable Subspace Identification Under Post-Nonlinear Mixtures NeurIPS 2022 Towards efficient representation identification in supervised learning CLeaR 2022 A Normative and Biologically Plausible Algorithm for Independent Component Analysis NeurIPS 2021 Contrastive Learning Inverts the Data Generating Process ICML 2021 Independent mechanism analysis, a new concept? NeurIPS 2021 Joint Online Multichannel Acoustic Echo Cancellation, Speech Dereverberation and Source Separation Interspeech 2021 Learning Bijective Feature Maps for Linear ICA AISTATS 2021 Local Disentanglement in Variational Auto-Encoders Using Jacobian L_1 Regularization NeurIPS 2021 On Linear Identifiability of Learned Representations ICML 2021 Shared Independent Component Analysis for Multi-Subject Neuroimaging NeurIPS 2021 Stochastic Approximation for Online Tensorial Independent Component Analysis COLT 2021 A Semi-Blind Source Separation Approach for Speech Dereverberation Interspeech 2020 Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method AISTATS 2020 Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series UAI 2020 ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA NeurIPS 2020