Wojciech Czaja

According to our database1, Wojciech Czaja authored at least 44 papers between 2006 and 2023.

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Bibliography

2023
Emergence of the SVD as an interpretable factorization in deep learning for inverse problems.
CoRR, 2023

Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tailoring Benchmark Graphs to Real-World Networks for Improved Prediction of Community Detection Performance.
Proceedings of the Complex Networks & Their Applications XII, 2023

2022
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
3-D Fourier Scattering Transform and Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2021

Transport Model for Feature Extraction.
SIAM J. Math. Data Sci., 2021

Active Learning at the ImageNet Scale.
CoRR, 2021

Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release.
CoRR, 2021

Maximal function pooling with applications.
CoRR, 2021

Cortical Features for Defense Against Adversarial Audio Attacks.
CoRR, 2021

Exploring the High Dimensional Geometry of HSI Features.
Proceedings of the 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2021

A Multi-Class Hinge Loss for Conditional GANs.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Adversarial Examples Make Strong Poisons.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
N-Dimensional Tensor Completion for Nuclear Magnetic Resonance Relaxometry.
SIAM J. Imaging Sci., 2020

Analysis of Hyperspectral Data by Means of Transport Models and Machine Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

A study of quality and diversity in K+1 GANs.
Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

2019
Experiments in unmanned aerial vehicle/unmanned ground vehicle radiation search.
J. Field Robotics, 2019

cGANs with Multi-Hinge Loss.
CoRR, 2019

Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images.
CoRR, 2019

2018
Superresolution of Noisy Remotely Sensed Images Through Directional Representations.
IEEE Geosci. Remote. Sens. Lett., 2018

Detection of epithelial versus mesenchymal regions in 2D images of tumor biopsies using shearlets.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Adversarial examples in remote sensing.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017
Heterogeneous Cancer Cell Line Data Fusion for Identifying Novel Response Determinants in Precision Medicine.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

Registration of textured remote sensing images using directional Gabor frames.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Symbolic Tensor Calculus - Functional and Dynamic Approach.
CoRR, 2016

Single-Image Superresolution Through Directional Representations.
CoRR, 2016

2015
Detection of anomaly in human retina using Laplacian Eigenmaps and vectorized matched filtering.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014
Nonlinear Dimensionality Reduction via the ENH-LTSA Method for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Solving 2D Fredholm Integral from Incomplete Measurements Using Compressive Sensing.
SIAM J. Imaging Sci., 2014

Operator analysis and diffusion based embeddings for heterogeneous data fusion.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Schroedinger Eigenmaps for the Analysis of Biomedical Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Kaczmarz Algorithm and Frames.
Int. J. Wavelets Multiresolution Inf. Process., 2013

A case study on data fusion with overlapping segments.
Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2013

2012
Predicting expression-related features of chromosomal domain organization with network-structured analysis of gene expression and chromosomal location.
Proceedings of the ACM International Conference on Bioinformatics, 2012

2011
Schroedinger Eigenmaps for the Analysis of Bio-Medical Data
CoRR, 2011

Modeling of the rhodopsin bleaching with variational analysis of retinal images.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Modeling photo-bleaching kinetics to map local variations in rod rhodopsin density.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

2010
Analysis of Temporal-spatial Co-variation within Gene Expression Microarray Data in an Organogenesis Model.
Proceedings of the Bioinformatics Research and Applications, 6th International Symposium, 2010

Integration and Modern Analysis.
Birkhäuser Avanced texts, Birkhäuser, ISBN: 978-0-8176-4306-5, 2010

2009
Acoustic wave equation in the expanding universe. Sachs-Wolfe theorem
CoRR, 2009

Frame based Kernel Methods for Automatic Classification in Hyperspectral Data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008
An efficient algorithm for positive realizations.
Syst. Control. Lett., 2008

2006
An Optimal Example for the Balian-Low Uncertainty Principle.
SIAM J. Math. Anal., 2006


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