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1301.3849
Cited By
Experiments with Random Projection
Conference on Uncertainty in Artificial Intelligence (UAI), 2000
16 January 2013
S. Dasgupta
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Papers citing
"Experiments with Random Projection"
50 / 72 papers shown
Mysteries of the Deep: Role of Intermediate Representations in Out of Distribution Detection
I. M. De la Jara
C. Rodriguez-Opazo
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D. Ranasinghe
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Random functions as data compressors for machine learning of molecular processes
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Gerhard Hummer
71
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07 Sep 2025
Boosting Offline Optimizers with Surrogate Sensitivity
International Conference on Machine Learning (ICML), 2025
Manh Cuong Dao
Phi Le Nguyen
Thao Nguyen Truong
Trong Nghia Hoang
OffRL
297
1
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06 Mar 2025
A User's Guide to
KSig
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KSig
: GPU-Accelerated Computation of the Signature Kernel
Csaba Tóth
Danilo Jr Dela Cruz
Harald Oberhauser
340
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0
13 Jan 2025
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy
Saber Malekmohammadi
G. Farnadi
655
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0
26 Sep 2024
ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line-Scanning
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Samuel Garske
Bradley Evans
Christopher Artlett
KC Wong
230
9
0
27 Aug 2024
High dimensional Bayesian Optimization via Condensing-Expansion Projection
Jiaming Lu
Rong J.B. Zhu
269
1
0
09 Aug 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
Hyungho Na
IL-Chul Moon
250
4
0
30 May 2024
Position: Stop Making Unscientific AGI Performance Claims
International Conference on Machine Learning (ICML), 2024
Patrick Altmeyer
Andrew M. Demetriou
Antony Bartlett
Cynthia C. S. Liem
341
10
0
06 Feb 2024
Flora: Low-Rank Adapters Are Secretly Gradient Compressors
International Conference on Machine Learning (ICML), 2024
Yongchang Hao
Yanshuai Cao
Lili Mou
421
106
0
05 Feb 2024
Optimal sensor placement for reconstructing wind pressure field around buildings using compressed sensing
Journal of Building Engineering (JBE), 2023
Xihaier Luo
A. Kareem
Shinjae Yoo
116
16
0
07 Jun 2023
Differential Privacy with Random Projections and Sign Random Projections
P. Li
Xiaoyun Li
416
11
0
22 May 2023
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods
Neural Information Processing Systems (NeurIPS), 2023
Shang Liu
Zhongze Cai
Xiaocheng Li
255
5
0
20 May 2023
Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation
Alexander Koenig
Maximilian Schambach
Johannes Otterbach
222
9
0
14 Apr 2023
Visual Place Recognition: A Tutorial
IEEE robotics & automation magazine (IEEE RAM), 2023
Stefan Schubert
Peer Neubert
Sourav Garg
Michael Milford
Tobias Fischer
448
43
0
06 Mar 2023
nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
R. Connor
Lucia Vadicamo
186
4
0
22 Feb 2023
OPORP: One Permutation + One Random Projection
Knowledge Discovery and Data Mining (KDD), 2023
Ping Li
Xiaoyun Li
300
14
0
07 Feb 2023
Neural Episodic Control with State Abstraction
International Conference on Learning Representations (ICLR), 2023
Zhuo Li
Derui Zhu
Yujing Hu
Xiaofei Xie
Lei Ma
Yan Zheng
Yan Song
Yingfeng Chen
Jianjun Zhao
OffRL
392
21
0
27 Jan 2023
REDS: Random Ensemble Deep Spatial prediction
Ranadeep Daw
C. Wikle
261
9
0
09 Nov 2022
Tensor-reduced atomic density representations
Physical Review Letters (PRL), 2022
James P. Darby
D. P. Kovács
Ilyes Batatia
M. A. Caro
G. Hart
Christoph Ortner
Gábor Csányi
382
40
0
02 Oct 2022
Noisy
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-Sparse Subspace Clustering on Dimensionality Reduced Data
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
Yingzhen Yang
Ping Li
220
4
0
22 Jun 2022
A Vertical Federated Learning Method For Multi-Institutional Credit Scoring: MICS
Yusuf Efe
FedML
195
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0
17 Nov 2021
Visual Cluster Separation Using High-Dimensional Sharpened Dimensionality Reduction
Benoît Colange
L. Vuillon
S. Lespinats
D. Dutykh
286
12
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01 Oct 2021
Randomized Projection Learning Method forDynamic Mode Decomposition
Sudam Surasinghe
Erik Bollt
208
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0
22 Sep 2021
Distribution free optimality intervals for clustering
M. Meilă
Hanyu Zhang
OOD
322
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0
30 Jul 2021
Place recognition survey: An update on deep learning approaches
T. Barros
Ricardo Pereira
L. Garrote
C. Premebida
U. J. Nunes
301
31
0
19 Jun 2021
STA-VPR: Spatio-temporal Alignment for Visual Place Recognition
IEEE Robotics and Automation Letters (RA-L), 2021
Feng Lu
Baifan Chen
Xiangdong Zhou
Dezhen Song
363
32
0
25 Mar 2021
An Introduction to Johnson-Lindenstrauss Transforms
Casper Benjamin Freksen
181
24
0
28 Feb 2021
Quantization Algorithms for Random Fourier Features
International Conference on Machine Learning (ICML), 2021
Xiaoyun Li
P. Li
MQ
234
15
0
25 Feb 2021
Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Nathan G. Drenkow
Neil Fendley
Philippe Burlina
AAML
407
8
0
11 Dec 2020
Clustering small datasets in high-dimension by random projection
Alden Bradford
Tarun Yellamraju
Mireille Boutin
168
2
0
21 Aug 2020
Light-in-the-loop: using a photonics co-processor for scalable training of neural networks
Julien Launay
Iacopo Poli
Kilian Muller
I. Carron
L. Daudet
Florent Krzakala
S. Gigan
253
7
0
02 Jun 2020
Randomized Kernel Multi-view Discriminant Analysis
European Conference on Artificial Intelligence (ECAI), 2020
Xiaoyun Li
Jie Gui
P. Li
197
4
0
02 Apr 2020
Tensorized Random Projections
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Beheshteh T. Rakhshan
Guillaume Rabusseau
295
26
0
11 Mar 2020
On-the-fly Global Embeddings Using Random Projections for Extreme Multi-label Classification
Yashaswi Verma
311
0
0
17 Dec 2019
Random Projection in Neural Episodic Control
Daichi Nishio
S. Yamane
222
2
0
03 Apr 2019
Continual Learning in Practice
Tom Diethe
Tom Borchert
Eno Thereska
Borja Balle
Neil D. Lawrence
CLL
254
78
0
12 Mar 2019
Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering
IEEE Geoscience and Remote Sensing Letters (GRSL), 2019
James M. Murphy
Mauro Maggioni
DiffM
187
28
0
08 Feb 2019
Automatic Hyperparameter Tuning Method for Local Outlier Factor, with Applications to Anomaly Detection
Zekun Xu
Deovrat Kakde
A. Chaudhuri
127
46
0
01 Feb 2019
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation
Fei Jiang
Lei Zheng
Jin Xu
Philip S. Yu
113
6
0
07 Sep 2018
ProdSumNet: reducing model parameters in deep neural networks via product-of-sums matrix decompositions
C. Wu
309
23
0
06 Sep 2018
Deep Multimodal Image-Repurposing Detection
Ekraam Sabir
Wael AbdAlmageed
Yue Wu
Premkumar Natarajan
158
62
0
20 Aug 2018
Statistical Model Compression for Small-Footprint Natural Language Understanding
Interspeech (Interspeech), 2018
Grant P. Strimel
Kanthashree Mysore Sathyendra
Stanislav Peshterliev
218
9
0
19 Jul 2018
Lightweight Unsupervised Deep Loop Closure
Nate Merrill
Guoquan Huang
UQCV
DRL
236
148
0
20 May 2018
Secure Face Matching Using Fully Homomorphic Encryption
Vishnu Boddeti
PICV
CVBM
398
138
0
01 May 2018
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA
M. Nazemi
Amir Erfan Eshratifar
Massoud Pedram
234
10
0
11 Jan 2018
Compressing Deep Neural Networks: A New Hashing Pipeline Using Kac's Random Walk Matrices
Jack Parker-Holder
S. Gass
273
0
0
09 Jan 2018
A survey of dimensionality reduction techniques based on random projection
Haozhe Xie
Jie Li
Hanqing Xue
351
62
0
14 Jun 2017
Unsupervised Clustering and Active Learning of Hyperspectral Images with Nonlinear Diffusion
James M. Murphy
Mauro Maggioni
DiffM
382
30
0
26 Apr 2017
The Informativeness of K -Means for Learning Mixture Models
Zhaoqiang Liu
Vincent Y. F. Tan
469
7
0
30 Mar 2017
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