Experiments with Random Projection
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Abstract (arXiv)
Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gausians. Here we summarize these results and illustrate them by a wide variety of experiments on synthetic and real data.
Key facts. Cited by 27 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Jan 2013.
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Citing papers per year: 2021: 8; 2022: 2; 2023: 9; 2024: 4; 2025: 3; 2026: 1.
27 papers.
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- 2024Flora: Low-Rank Adapters Are Secretly Gradient Compressorscited by 103
- 2023Visual Place Recognition: A Tutorialcited by 31
- 2021STA-VPR: Spatio-temporal Alignment for Visual Place Recognitioncited by 15
- 2021Place recognition survey: An update on deep learning approachescited by 13
- 2023OPORP: One Permutation + One Random Projectioncited by 11
- 2021An Introduction to Johnson-Lindenstrauss Transformscited by 10
- 2022Tensor-reduced atomic density representationscited by 10
- 2021Quantization Algorithms for Random Fourier Featurescited by 7
- 2023Neural Episodic Control with State Abstractioncited by 7
- 2023Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentationcited by 7
- 2025Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detectioncited by 6
- 2023Differential Privacy with Random Projections and Sign Random Projectionscited by 5
15 more
- 2023nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spacescited by 3
- 2023Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methodscited by 3
- 2021Visual Cluster Separation Using High-Dimensional Sharpened Dimensionality Reductioncited by 2
- 2021Randomized Projection Learning Method forDynamic Mode Decompositioncited by 2
- 2021A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICScited by 2
- 2024Position: Stop Making Unscientific AGI Performance Claimscited by 2
- 2024ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanningcited by 2
- 2025Trajectory-Class-Aware Multi-Agent Reinforcement Learningcited by 2
- 2024High dimensional Bayesian Optimization via Condensing-Expansion Projectioncited by 1
- 2021Distribution free optimality intervals for clusteringcited by 0
- 2022Noisy ℓ0-Sparse Subspace Clustering on Dimensionality Reduced Datacited by 0
- 2023HD-Bind: Encoding of Molecular Structure with Low Precision, Hyperdimensional Binary Representationscited by 0
- 2023Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensingcited by 0
- 2025Random functions as data compressors for machine learning of molecular processescited by 0
- 2026Exact Limits of Random Projections for Preserving Geometry: Distance Recovery, Nearest-Neighbor Rankings, and Covariance Shape in Gaussian Modelscited by 0
- 2026Exact Limits of Random Projections for Preserving Geometry: Distance Recovery, Nearest-Neighbor Rankings, and Covariance Shape in Gaussian Models2 Sep 2026
- 2025Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection7 Oct 2025
- 2025Random functions as data compressors for machine learning of molecular processes7 Sep 2025
- 2025Trajectory-Class-Aware Multi-Agent Reinforcement Learning3 Mar 2025
- 2024ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning27 Aug 2024
- 2024High dimensional Bayesian Optimization via Condensing-Expansion Projection9 Aug 2024
- 2024Position: Stop Making Unscientific AGI Performance Claims6 Feb 2024
- 2024Flora: Low-Rank Adapters Are Secretly Gradient Compressors5 Feb 2024
- 2023Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing7 Jun 2023
- 2023Differential Privacy with Random Projections and Sign Random Projections22 May 2023
- 2023Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods20 May 2023
- 2023Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation14 Apr 2023
15 more
- 2023HD-Bind: Encoding of Molecular Structure with Low Precision, Hyperdimensional Binary Representations27 Mar 2023
- 2023Visual Place Recognition: A Tutorial6 Mar 2023
- 2023nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces22 Feb 2023
- 2023OPORP: One Permutation + One Random Projection7 Feb 2023
- 2023Neural Episodic Control with State Abstraction27 Jan 2023
- 2022Tensor-reduced atomic density representations2 Oct 2022
- 2022Noisy ℓ0-Sparse Subspace Clustering on Dimensionality Reduced Data22 Jun 2022
- 2021A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS17 Nov 2021
- 2021Visual Cluster Separation Using High-Dimensional Sharpened Dimensionality Reduction1 Oct 2021
- 2021Randomized Projection Learning Method forDynamic Mode Decomposition22 Sep 2021
- 2021Distribution free optimality intervals for clustering30 Jul 2021
- 2021Place recognition survey: An update on deep learning approaches19 Jun 2021
- 2021STA-VPR: Spatio-temporal Alignment for Visual Place Recognition25 Mar 2021
- 2021An Introduction to Johnson-Lindenstrauss Transforms28 Feb 2021
- 2021Quantization Algorithms for Random Fourier Features25 Feb 2021
- 2024Flora: Low-Rank Adapters Are Secretly Gradient Compressorscited by 103
- 2023Visual Place Recognition: A Tutorialcited by 31
- 2021STA-VPR: Spatio-temporal Alignment for Visual Place Recognitioncited by 15
- 2021Place recognition survey: An update on deep learning approachescited by 13
- 2023OPORP: One Permutation + One Random Projectioncited by 11
- 2021An Introduction to Johnson-Lindenstrauss Transformscited by 10
- 2022Tensor-reduced atomic density representationscited by 10
- 2021Quantization Algorithms for Random Fourier Featurescited by 7
- 2023Neural Episodic Control with State Abstractioncited by 7
- 2023Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentationcited by 7
- 2025Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detectioncited by 6
- 2023Differential Privacy with Random Projections and Sign Random Projectionscited by 5
12 most cited of 27 All 27 (JSON)
- 2026Exact Limits of Random Projections for Preserving Geometry: Distance Recovery, Nearest-Neighbor Rankings, and Covariance Shape in Gaussian Models2 Sep 2026
- 2025Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection7 Oct 2025
- 2025Random functions as data compressors for machine learning of molecular processes7 Sep 2025
- 2025Trajectory-Class-Aware Multi-Agent Reinforcement Learning3 Mar 2025
- 2024ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning27 Aug 2024
- 2024High dimensional Bayesian Optimization via Condensing-Expansion Projection9 Aug 2024
- 2024Position: Stop Making Unscientific AGI Performance Claims6 Feb 2024
- 2024Flora: Low-Rank Adapters Are Secretly Gradient Compressors5 Feb 2024
- 2023Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing7 Jun 2023
- 2023Differential Privacy with Random Projections and Sign Random Projections22 May 2023
- 2023Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods20 May 2023
- 2023Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation14 Apr 2023
12 newest of 27 All 27 (JSON)