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Optimal whitening and decorrelation

2 December 2015

Papers citing "Optimal whitening and decorrelation"

50 / 89 papers shown

Title
C3R: Channel Conditioned Cell Representations for unified evaluation in microscopy imaging Umar Marikkar Syed Sameed Husain Muhammad Awais Sara Atito 43 0 0 24 May 2025
Variational Bayesian Pseudo-Coreset Hyungi Lee Seanie Lee Juho Lee BDL 73 0 0 28 Feb 2025
GIST: Towards Photorealistic Style Transfer via Multiscale Geometric Representations Renan A. Rojas-Gomez Minh Do 3DH 166 0 0 03 Dec 2024
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs Mohammad Shahverdikondori Ehsan Mokhtarian Negar Kiyavash CML 59 0 0 30 Oct 2024
4DStyleGaussian: Zero-shot 4D Style Transfer with Gaussian Splatting Wanlin Liang Hongbin Xu Weitao Chen Feng Xiao Wenxiong Kang 3DGS 61 2 0 14 Oct 2024
PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation Mike Ranzinger Jon Barker Greg Heinrich Pavlo Molchanov Bryan Catanzaro Andrew Tao 102 5 0 02 Oct 2024
Extending the Gini Index to Higher Dimensions via Whitening Processes Gennaro Auricchio Paolo Giudici Giuseppe Toscani 39 3 0 16 Sep 2024
Multi-scale decomposition of sea surface height snapshots using machine learning Jingwen Lyu Yue Wang Christian Pedersen Spencer Jones Dhruv Balwada 22 2 0 11 Sep 2024
Adaptative Context Normalization: A Boost for Deep Learning in Image Processing Bilal Faye Hanane Azzag M. Lebbah D. Bouchaffra OOD 44 0 0 07 Sep 2024
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification Zhiwei Zhang 59 0 0 30 Aug 2024
Blind Separation of Vibration Sources using Deep Learning and Deconvolution Igor Makienko Michael Grebshtein Eli Gildish 34 0 0 21 May 2024
Efficient Deep Learning with Decorrelated Backpropagation Sander Dalm Joshua Offergeld Nasir Ahmad Marcel van Gerven 173 5 0 03 May 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei Xu DD AAML 100 5 0 20 Mar 2024
Estimation and Deconvolution of Second Order Cyclostationary Signals Igor Makienko Michael Grebshtein Eli Gildish 20 1 0 29 Feb 2024
Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection Sicong Huang Jiawei He Kry Yik-Chau Lui 69 0 0 10 Jan 2024
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models Haoran Zhao Jake Ryland Williams 101 0 0 18 Nov 2023
Convolve and Conquer: Data Comparison with Wiener Filters Deborah Pelacani Cruz G. Strong Oscar Bates Carlos Cueto Jiashun Yao Lluis Guasch 63 0 0 11 Nov 2023
CamP: Camera Preconditioning for Neural Radiance Fields Keunhong Park Philipp Henzler B. Mildenhall Jonathan T. Barron Ricardo Martín Brualla 96 53 0 21 Aug 2023
Implicit ZCA Whitening Effects of Linear Autoencoders for Recommendation Katsuhiko Hayashi Kazuma Onishi 28 0 0 15 Aug 2023
Quaternion Convolutional Neural Networks: Current Advances and Future Directions Gerardo Altamirano-Gomez C. Gershenson 106 5 0 17 Jul 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning Mark D Mcdonnell Dong Gong Amin Parvaneh Ehsan Abbasnejad Anton Van Den Hengel VLM CLL 120 112 0 05 Jul 2023
Variance-Covariance Regularization Improves Representation Learning Jiachen Zhu Katrina Evtimova Yubei Chen Ravid Shwartz-Ziv Yann LeCun SSL 94 7 0 23 Jun 2023
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning Hojoon Lee Ko-tik Lee Dongyoon Hwang Hyunho Lee ByungKun Lee Jaegul Choo SSL OOD 58 5 0 09 Jun 2023
The Fisher Geometry and Geodesics of the Multivariate Normals, without Differential Geometry Brodie A. J. Lawson K. Burrage Kerrie Mengersen R. D. Santos 34 0 0 02 Jun 2023
A Multi-dimensional Deep Structured State Space Approach to Speech Enhancement Using Small-footprint Models Pin-Jui Ku Chao-Han Huck Yang Sabato Marco Siniscalchi Chin-Hui Lee 89 13 0 01 Jun 2023
Speaker anonymization using orthogonal Householder neural network Xiaoxiao Miao Xin Wang Erica Cooper Junichi Yamagishi N. Tomashenko BDL 74 21 0 30 May 2023
Discovering Universal Geometry in Embeddings with ICA Hiroaki Yamagiwa Momose Oyama Hidetoshi Shimodaira 51 15 0 22 May 2023
An Empirical Analysis of the Shift and Scale Parameters in BatchNorm Y. Peerthum Mark Stamp 136 6 0 22 Mar 2023
Context Normalization Layer with Applications Bilal Faye M. Dilmi Hanene Azzag M. Lebbah D. Bouchaffra 82 0 0 14 Mar 2023
Adaptive whitening in neural populations with gain-modulating interneurons Lyndon Duong David Lipshutz D. Heeger D. Chklovskii Eero P. Simoncelli 47 4 0 27 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 106 93 0 13 Jan 2023
Using Supervised Deep-Learning to Model Edge-FBG Shape Sensors Samaneh Manavi Roodsari Antal Huck-Horváth Sara Freund A. Zam G. Rauter Wolfgang Schade Philippe C. Cattin 36 9 0 28 Oct 2022
IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces Kelly Marchisio Neha Verma Kevin Duh Philipp Koehn 89 7 0 11 Oct 2022
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation David Lipshutz Cengiz Pehlevan D. Chklovskii 50 11 0 21 Sep 2022
Reduced-order modeling for parameterized large-eddy simulations of atmospheric pollutant dispersion Bastien X. Nony M. Rochoux T. Jaravel Didier Lucor 19 11 0 02 Aug 2022
Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems Saleh Baghersalimi. Alireza Amirshahi Alireza Amirshahi Farnaz Forooghifar T. Teijeiro A. Aminifar David Atienza Alonso 48 7 0 20 Jul 2022
GRM: Gradient Rectification Module for Visual Place Retrieval Boshu Lei Wenjie Ding Limeng Qiao Xi Qiu 51 0 0 23 Apr 2022
Spoofing-Aware Speaker Verification with Unsupervised Domain Adaptation Xuechen Liu Md. Sahidullah Tomi Kinnunen 81 7 0 21 Mar 2022
You Only Need End-to-End Training for Long-Tailed Recognition Zhiwei Zhang 112 2 0 11 Dec 2021
A Spline Dimensional Decomposition for Uncertainty Quantification in High Dimensions S. Rahman Ramin Jahanbin 22 16 0 25 Nov 2021
Generalized Shape Metrics on Neural Representations Alex H. Williams Erin M Kunz Simon Kornblith Scott W. Linderman MedIm 68 105 0 27 Oct 2021
Classification of high-dimensional data with spiked covariance matrix structure Yin-Jen Chen M. Tang 139 0 0 05 Oct 2021
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting Jinliang Deng Xiusi Chen Renhe Jiang Xuan Song Ivor W. Tsang AI4TS 83 39 0 02 Sep 2021
Improving Generalization of Batch Whitening by Convolutional Unit Optimization Yooshin Cho Hanbyel Cho Youngsoo Kim Junmo Kim 50 2 0 24 Aug 2021
Too Many, Too Improbable: testing joint hypotheses and closed testing shortcuts Phillip B. Mogensen B. Markussen 90 1 0 10 Aug 2021
Inverting Adversarially Robust Networks for Image Synthesis Renan A. Rojas-Gomez Raymond A. Yeh Minh Do A. Nguyen 52 5 0 13 Jun 2021
Stochastic Whitening Batch Normalization Shengdong Zhang E. Nezhadarya H. Fashandi Jiayi Liu Darin Graham Mohak Shah 105 10 0 03 Jun 2021
ThundeRiNG: Generating Multiple Independent Random Number Sequences on FPGAs Hongshi Tan Xinyu Chen Yao Chen Bingsheng He Weng-Fai Wong AI4TS 41 5 0 20 May 2021
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms L. Cazenille 73 9 0 03 May 2021
Interpretability in deep learning for finance: a case study for the Heston model D. Brigo Xiaoshan Huang A. Pallavicini Haitz Sáez de Ocáriz Borde FAtt 37 9 0 19 Apr 2021