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ORCIDWojciech Czaja
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Books and Theses
- 2010
[b1]John J. Benedetto, Wojciech Czaja:
Integration and Modern Analysis. Birkhäuser Avanced texts, Birkhäuser 2010, ISBN 978-0-8176-4306-5, pp. I-XIX, 1-575
Journal Articles
- 2021
- [j11]Wojciech Czaja, Dong Dong, Pierre-Emmanuel Jabin, Franck Olivier Ndjakou Njeunje:
Transport Model for Feature Extraction. SIAM J. Math. Data Sci. 3(1): 321-341 (2021) - [j10]Ilya Kavalerov
, Weilin Li, Wojciech Czaja, Rama Chellappa:
3-D Fourier Scattering Transform and Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 59(12): 10312-10327 (2021) - 2020
- [j9]Ariel Hafftka, Wojciech Czaja, Hasan Celik, Richard G. Spencer:
N-Dimensional Tensor Completion for Nuclear Magnetic Resonance Relaxometry. SIAM J. Imaging Sci. 13(1): 176-213 (2020) - 2019
- [j8]John Peterson, Weilin Li, Brian Cesar-Tondreau, John Bird, Kevin Kochersberger, Wojciech Czaja, Morgan McLean:
Experiments in unmanned aerial vehicle/unmanned ground vehicle radiation search. J. Field Robotics 36(4): 818-845 (2019) - 2018
- [j7]Wojciech Czaja, James M. Murphy, Daniel Weinberg:
Superresolution of Noisy Remotely Sensed Images Through Directional Representations. IEEE Geosci. Remote. Sens. Lett. 15(12): 1837-1841 (2018) - 2014
- [j6]Alexander Cloninger, Wojciech Czaja, Ruiliang Bai, Peter J. Basser:
Solving 2D Fredholm Integral from Incomplete Measurements Using Compressive Sensing. SIAM J. Imaging Sci. 7(3): 1775-1798 (2014) - [j5]Weiwei Sun, Avner Halevy, John J. Benedetto, Wojciech Czaja, Weiyue Li, Chun Liu, Beiqi Shi, Rongrong Wang:
Nonlinear Dimensionality Reduction via the ENH-LTSA Method for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(2): 375-388 (2014) - 2013
- [j4]Wojciech Czaja, James H. Tanis:
Kaczmarz Algorithm and Frames. Int. J. Wavelets Multiresolution Inf. Process. 11(5) (2013) - [j3]Wojciech Czaja, Martin Ehler:
Schroedinger Eigenmaps for the Analysis of Biomedical Data. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1274-1280 (2013) - 2008
- [j2]Wojciech Czaja, Philippe Jaming, Máté Matolcsi:
An efficient algorithm for positive realizations. Syst. Control. Lett. 57(5): 436-441 (2008) - 2006
- [j1]John J. Benedetto, Wojciech Czaja, Alexander M. Powell:
An Optimal Example for the Balian-Low Uncertainty Principle. SIAM J. Math. Anal. 38(1): 333-345 (2006)
Conference and Workshop Papers
- 2024
- [c22]Wojciech Czaja, Jeremiah Emidih, Brandon Kolstoe, Richard G. Spencer:
Hyperspectral Reconstruction of Skin through Fusion of Scattering Transform Features. ICASSP Workshops 2024: 105-106 - 2023
- [c21]Catherine Schwartz, Cetin Savkli, Amanda Galante, Wojciech Czaja:
Tailoring Benchmark Graphs to Real-World Networks for Improved Prediction of Community Detection Performance. COMPLEX NETWORKS (2) 2023: 108-120 - [c20]Liam H. Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojciech Czaja, Micah Goldblum, Tom Goldstein:
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. ICLR 2023 - 2022
- [c19]Liam H. Fowl, Jonas Geiping, Wojciech Czaja, Micah Goldblum, Tom Goldstein:
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models. ICLR 2022 - 2021
- [c18]Jonas Geiping, Liam H. Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein:
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. ICLR 2021 - [c17]Liam Fowl, Micah Goldblum, Ping-yeh Chiang, Jonas Geiping, Wojciech Czaja, Tom Goldstein:
Adversarial Examples Make Strong Poisons. NeurIPS 2021: 30339-30351 - [c16]Ilya Kavalerov, Wojciech Czaja, Rama Chellappa:
A Multi-Class Hinge Loss for Conditional GANs. WACV 2021: 1289-1298 - [c15]Wojciech Czaja, Ilya Kavalerov, Weilin Li:
Exploring the High Dimensional Geometry of HSI Features. WHISPERS 2021: 1-5 - 2020
- [c14]Ilya Kavalerov, Wojciech Czaja, Rama Chellappa:
A study of quality and diversity in K+1 GANs. ICBINB@NeurIPS 2020: 129-135 - [c13]Wojciech Czaja, Dong Dong, Pierre-Emmanuel Jabin, Franck Olivier Ndjakou Njeunje:
Analysis of Hyperspectral Data by Means of Transport Models and Machine Learning. IGARSS 2020: 3680-3683 - 2018
- [c12]Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang:
Adversarial examples in remote sensing. SIGSPATIAL/GIS 2018: 408-411 - [c11]Yiran Li, Stephen J. Lockett, Robert J. Kinders, Wojciech Czaja:
Detection of epithelial versus mesenchymal regions in 2D images of tumor biopsies using shearlets. ISBI 2018: 916-920 - 2017
- [c10]Hannah Olson, Wojciech Czaja, Jacqueline Le Moigne:
Registration of textured remote sensing images using directional Gabor frames. IGARSS 2017: 2585-2588 - [c9]Wojciech Czaja, Jeremiah Emidih:
Heterogeneous Cancer Cell Line Data Fusion for Identifying Novel Response Determinants in Precision Medicine. ISBRA 2017: 414-419 - 2015
- [c8]Karamatou A. Yacoubou Djima, Lucia D. Simonelli, Denise Cunningham, Wojciech Czaja:
Detection of anomaly in human retina using Laplacian Eigenmaps and vectorized matched filtering. Medical Imaging: Image Processing 2015: 94132F - 2014
- [c7]Alexander Cloninger, Wojciech Czaja, Timothy Doster:
Operator analysis and diffusion based embeddings for heterogeneous data fusion. IGARSS 2014: 1249-1252 - 2013
- [c6]Alexander Cloninger, Wojciech Czaja, Timothy Doster:
A case study on data fusion with overlapping segments. AIPR 2013: 1-11 - 2012
- [c5]Vinodh N. Rajapakse, Wojciech Czaja, Yves Pommier, William C. Reinhold, Sudhir Varma:
Predicting expression-related features of chromosomal domain organization with network-structured analysis of gene expression and chromosomal location. BCB 2012: 226-233 - 2011
- [c4]Martin Ehler, Julia A. Dobrosotskaya, Emily J. King, Wojciech Czaja, Robert F. Bonner:
Modeling photo-bleaching kinetics to map local variations in rod rhodopsin density. Medical Imaging: Computer-Aided Diagnosis 2011: 79633R - [c3]Julia A. Dobrosotskaya, Martin Ehler, Emily J. King, Robert F. Bonner, Wojciech Czaja:
Modeling of the rhodopsin bleaching with variational analysis of retinal images. Medical Imaging: Image Processing 2011: 79624N - 2010
- [c2]Martin Ehler, Vinodh N. Rajapakse, Barry Zeeberg, Brian P. Brooks, Jacob D. Brown, Wojciech Czaja, Robert F. Bonner:
Analysis of Temporal-spatial Co-variation within Gene Expression Microarray Data in an Organogenesis Model. ISBRA 2010: 38-49 - 2009
- [c1]John J. Benedetto, Wojciech Czaja, Justin Flake, Matthew J. Hirn:
Frame based Kernel Methods for Automatic Classification in Hyperspectral Data. IGARSS (4) 2009: 697-700
Informal and Other Publications
- 2024
- [i21]Wojciech Czaja, Sanghoon Na:
Frame Quantization of Neural Networks. CoRR abs/2404.08131 (2024) - [i20]Wojciech Czaja, Jeremiah Emidih, Brandon Kolstoe, Richard G. Spencer:
Hyperspectral Reconstruction of Skin Through Fusion of Scattering Transform Features. CoRR abs/2404.10030 (2024) - 2023
- [i19]Shashank Sule, Richard G. Spencer, Wojciech Czaja:
Emergence of the SVD as an interpretable factorization in deep learning for inverse problems. CoRR abs/2301.07820 (2023) - 2022
- [i18]Liam Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojtek Czaja, Micah Goldblum, Tom Goldstein:
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. CoRR abs/2201.12675 (2022) - 2021
- [i17]Ilya Kavalerov, Frank Zheng, Wojciech Czaja, Rama Chellappa:
Cortical Features for Defense Against Adversarial Audio Attacks. CoRR abs/2102.00313 (2021) - [i16]Wojciech Czaja, Weilin Li, Yiran Li, Michael J. Pekala:
Maximal function pooling with applications. CoRR abs/2103.01292 (2021) - [i15]Wojciech Czaja, Ilya Kavalerov, Weilin Li:
Exploring the high dimensional geometry of HSI features. CoRR abs/2103.01303 (2021) - [i14]Liam Fowl, Ping-yeh Chiang, Micah Goldblum, Jonas Geiping, Arpit Bansal, Wojtek Czaja, Tom Goldstein:
Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release. CoRR abs/2103.02683 (2021) - [i13]Liam Fowl, Micah Goldblum, Ping-yeh Chiang, Jonas Geiping, Wojtek Czaja, Tom Goldstein:
Adversarial Examples Make Strong Poisons. CoRR abs/2106.10807 (2021) - [i12]Liam Fowl, Jonas Geiping, Wojtek Czaja, Micah Goldblum, Tom Goldstein:
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models. CoRR abs/2110.13057 (2021) - [i11]Zeyad Ali Sami Emam, Hong-Min Chu, Ping-Yeh Chiang, Wojciech Czaja, Richard Leapman, Micah Goldblum, Tom Goldstein:
Active Learning at the ImageNet Scale. CoRR abs/2111.12880 (2021) - 2020
- [i10]Jonas Geiping, Liam Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein:
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. CoRR abs/2009.02276 (2020) - 2019
- [i9]Ilya Kavalerov, Weilin Li, Wojciech Czaja, Rama Chellappa:
Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images. CoRR abs/1906.06804 (2019) - [i8]Wojciech Czaja, Dong Dong, Pierre-Emmanuel Jabin, Franck Olivier Ndjakou Njeunje:
Transport Model for Feature Extraction. CoRR abs/1910.14543 (2019) - [i7]Ilya Kavalerov, Wojciech Czaja, Rama Chellappa:
cGANs with Multi-Hinge Loss. CoRR abs/1912.04216 (2019) - 2018
- [i6]Wojciech Czaja, Neil Fendley, Michael J. Pekala, Christopher Ratto, I-Jeng Wang:
Adversarial Examples in Remote Sensing. CoRR abs/1805.10997 (2018) - 2016
- [i5]Wojciech Czaja, James M. Murphy, Daniel Weinberg:
Single-Image Superresolution Through Directional Representations. CoRR abs/1602.08575 (2016) - [i4]Andrzej Woszczyna, P. Plaszczyk, Wojciech Czaja, Zdzislaw A. Golda:
Symbolic Tensor Calculus - Functional and Dynamic Approach. CoRR abs/1603.05819 (2016) - 2014
- [i3]Wojciech Czaja, James H. Tanis:
Kaczmarz Algorithm and Frames. CoRR abs/1409.8310 (2014) - 2011
- [i2]Wojciech Czaja, Martin Ehler:
Schroedinger Eigenmaps for the Analysis of Bio-Medical Data. CoRR abs/1102.4086 (2011) - 2009
- [i1]Wojciech Czaja, Zdzislaw A. Golda, Andrzej Woszczyna:
Acoustic wave equation in the expanding universe. Sachs-Wolfe theorem. CoRR abs/0902.0239 (2009)
Coauthor Index
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