An Optimal Example for the Balian-Low Uncertainty Principle. - John J. Benedetto; Wojciech Czaja; Alexander M. Powell (SIAM J. Math. Anal., 2006)

An efficient algorithm for positive realizations. - Wojciech Czaja; Philippe Jaming; Máté Matolcsi (Syst. Control. Lett., 2008)

Frame based Kernel Methods for Automatic Classification in Hyperspectral Data. - John J. Benedetto; Wojciech Czaja; Justin Flake; Matthew J. Hirn (IGARSS (4), 2009)

Acoustic wave equation in the expanding universe. Sachs-Wolfe theorem - Wojciech Czaja; Zdzislaw A. Golda; Andrzej Woszczyna (CoRR, 2009)

Integration and Modern Analysis. - John J. Benedetto; Wojciech Czaja (Birkhäuser, 2010)

Analysis of Temporal-spatial Co-variation within Gene Expression Microarray Data in an Organogenesis Model. - Martin Ehler; Vinodh N. Rajapakse; Barry Zeeberg; Brian P. Brooks; Jacob D. Brown; Wojciech Czaja; Robert F. Bonner (ISBRA, 2010)

Modeling photo-bleaching kinetics to map local variations in rod rhodopsin density. - Martin Ehler; Julia A. Dobrosotskaya; Emily J. King; Wojciech Czaja; Robert F. Bonner (Computer-Aided Diagnosis, 2011)

Modeling of the rhodopsin bleaching with variational analysis of retinal images. - Julia A. Dobrosotskaya; Martin Ehler; Emily J. King; Robert F. Bonner; Wojciech Czaja (Image Processing, 2011)

Schroedinger Eigenmaps for the Analysis of Bio-Medical Data - Wojciech Czaja; Martin Ehler (CoRR, 2011)

Predicting expression-related features of chromosomal domain organization with network-structured analysis of gene expression and chromosomal location. - Vinodh N. Rajapakse; Wojciech Czaja; Yves Pommier; William C. Reinhold; Sudhir Varma (BCB, 2012)

A case study on data fusion with overlapping segments. - Alexander Cloninger; Wojciech Czaja; Timothy Doster (AIPR, 2013)

Kaczmarz Algorithm and Frames. - Wojciech Czaja; James H. Tanis (Int. J. Wavelets Multiresolution Inf. Process., 2013)

Schroedinger Eigenmaps for the Analysis of Biomedical Data. - Wojciech Czaja; Martin Ehler (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Operator analysis and diffusion based embeddings for heterogeneous data fusion. - Alexander Cloninger; Wojciech Czaja; Timothy Doster (IGARSS, 2014)

Solving 2D Fredholm Integral from Incomplete Measurements Using Compressive Sensing. - Alexander Cloninger; Wojciech Czaja; Ruiliang Bai; Peter J. Basser (SIAM J. Imaging Sci., 2014)

Nonlinear Dimensionality Reduction via the ENH-LTSA Method for Hyperspectral Image Classification. - Weiwei Sun 005; Avner Halevy; John J. Benedetto; Wojciech Czaja; Weiyue Li; Chun Liu 003; Beiqi Shi; Rongrong Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Detection of anomaly in human retina using Laplacian Eigenmaps and vectorized matched filtering. - Karamatou A. Yacoubou Djima; Lucia D. Simonelli; Denise Cunningham; Wojciech Czaja (Image Processing, 2015)

Single-Image Superresolution Through Directional Representations. - Wojciech Czaja; James M. Murphy; Daniel Weinberg (CoRR, 2016)

Symbolic Tensor Calculus - Functional and Dynamic Approach. - Andrzej Woszczyna; P. Plaszczyk; Wojciech Czaja; Zdzislaw A. Golda (CoRR, 2016)

Registration of textured remote sensing images using directional Gabor frames. - Hannah Olson; Wojciech Czaja; Jacqueline Le Moigne (IGARSS, 2017)

Heterogeneous Cancer Cell Line Data Fusion for Identifying Novel Response Determinants in Precision Medicine. - Wojciech Czaja; Jeremiah Emidih (ISBRA, 2017)

Adversarial examples in remote sensing. - Wojciech Czaja; Neil Fendley; Michael J. Pekala; Christopher Ratto; I-Jeng Wang (SIGSPATIAL/GIS, 2018)

Detection of epithelial versus mesenchymal regions in 2D images of tumor biopsies using shearlets. - Yiran Li; Stephen J. Lockett; Robert J. Kinders; Wojciech Czaja (ISBI, 2018)

Superresolution of Noisy Remotely Sensed Images Through Directional Representations. - Wojciech Czaja; James M. Murphy; Daniel Weinberg (IEEE Geosci. Remote. Sens. Lett., 2018)

Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images. - Ilya Kavalerov; Weilin Li; Wojciech Czaja; Rama Chellappa (CoRR, 2019)

cGANs with Multi-Hinge Loss. - Ilya Kavalerov; Wojciech Czaja; Rama Chellappa (CoRR, 2019)

Experiments in unmanned aerial vehicle/unmanned ground vehicle radiation search. - John Peterson; Weilin Li; Brian Cesar-Tondreau; John Bird; Kevin Kochersberger; Wojciech Czaja; Morgan McLean (J. Field Robotics, 2019)

A study of quality and diversity in K+1 GANs. - Ilya Kavalerov; Wojciech Czaja; Rama Chellappa (ICBINB@NeurIPS, 2020)

Analysis of Hyperspectral Data by Means of Transport Models and Machine Learning. - Wojciech Czaja; Dong Dong; Pierre-Emmanuel Jabin; Franck Olivier Ndjakou Njeunje (IGARSS, 2020)

N-Dimensional Tensor Completion for Nuclear Magnetic Resonance Relaxometry. - Ariel Hafftka; Wojciech Czaja; Hasan Celik; Richard G. Spencer 001 (SIAM J. Imaging Sci., 2020)

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. - Jonas Geiping; Liam H. Fowl; W. Ronny Huang; Wojciech Czaja; Gavin Taylor; Michael Moeller 001; Tom Goldstein (ICLR, 2021)

Adversarial Examples Make Strong Poisons. - Liam Fowl; Micah Goldblum; Ping-yeh Chiang; Jonas Geiping; Wojciech Czaja; Tom Goldstein (NeurIPS, 2021)

A Multi-Class Hinge Loss for Conditional GANs. - Ilya Kavalerov; Wojciech Czaja; Rama Chellappa (WACV, 2021)

Exploring the High Dimensional Geometry of HSI Features. - Wojciech Czaja; Ilya Kavalerov; Weilin Li (WHISPERS, 2021)

Cortical Features for Defense Against Adversarial Audio Attacks. - Ilya Kavalerov; Frank Zheng; Wojciech Czaja; Rama Chellappa (CoRR, 2021)

Maximal function pooling with applications. - Wojciech Czaja; Weilin Li; Yiran Li; Michael J. Pekala (CoRR, 2021)

Preventing Unauthorized Use of Proprietary Data: Poisoning for Secure Dataset Release. - Liam Fowl; Ping-yeh Chiang; Micah Goldblum; Jonas Geiping; Arpit Bansal; Wojtek Czaja; Tom Goldstein (CoRR, 2021)

Active Learning at the ImageNet Scale. - Zeyad Ali Sami Emam; Hong-Min Chu; Ping-Yeh Chiang; Wojciech Czaja; Richard Leapman; Micah Goldblum; Tom Goldstein (CoRR, 2021)

Transport Model for Feature Extraction. - Wojciech Czaja; Dong Dong; Pierre-Emmanuel Jabin; Franck Olivier Ndjakou Njeunje (SIAM J. Math. Data Sci., 2021)

3-D Fourier Scattering Transform and Classification of Hyperspectral Images. - Ilya Kavalerov; Weilin Li; Wojciech Czaja; Rama Chellappa (IEEE Trans. Geosci. Remote. Sens., 2021)

Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models. - Liam H. Fowl; Jonas Geiping; Wojciech Czaja; Micah Goldblum; Tom Goldstein (ICLR, 2022)

Tailoring Benchmark Graphs to Real-World Networks for Improved Prediction of Community Detection Performance. - Catherine Schwartz; Cetin Savkli; Amanda Galante; Wojciech Czaja (COMPLEX NETWORKS (2), 2023)

Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models. - Liam H. Fowl; Jonas Geiping; Steven Reich; Yuxin Wen; Wojciech Czaja; Micah Goldblum; Tom Goldstein (ICLR, 2023)

Emergence of the SVD as an interpretable factorization in deep learning for inverse problems. - Shashank Sule; Richard G. Spencer 001; Wojciech Czaja (CoRR, 2023)

Neural Network-Based Speech Reconstruction from Undersampled STFT Magnitude Data. - Wojciech Czaja; Canran Ji; Shashank Sule; Matthias Wellershoff (EUSIPCO, 2024)

Hyperspectral Reconstruction of Skin through Fusion of Scattering Transform Features. - Wojciech Czaja; Jeremiah Emidih; Brandon Kolstoe; Richard G. Spencer 001 (ICASSP Workshops, 2024)

Frame Quantization of Neural Networks. - Wojciech Czaja; Sanghoon Na (CoRR, 2024)

Neumann eigenmaps for landmark embedding. - Shashank Sule; Wojciech Czaja (CoRR, 2025)