Kutyniok, Gitta

22 publications

ICCV 2025 Learning Interpretable Queries for Explainable Image Classification with Information Pursuit Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan, Hector Andrade-Loarca, Gitta Kutyniok, René Vidal

ICLR 2025 ParFam -- (Neural Guided) Symbolic Regression via Continuous Global Optimization Philipp Scholl, Katharina Bieker, Hillary Hauger, Gitta Kutyniok

TMLR 2025 Probabilistic Neural Operators for Functional Uncertainty Quantification Christopher Bülte, Philipp Scholl, Gitta Kutyniok

NeurIPS 2025 Revisiting Glorot Initialization for Long-Range Linear Recurrences Noga Bar, Mariia Seleznova, Yotam Alexander, Gitta Kutyniok, Raja Giryes

ICML 2025 Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time Duc Anh Nguyen, Ernesto Araya, Adalbert Fono, Gitta Kutyniok

NeurIPSW 2024 Probabilistic Predictions with Fourier Neural Operators Christopher Bülte, Philipp Scholl, Gitta Kutyniok

NeurIPS 2024 Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning Raffaele Paolino, Sohir Maskey, Pascal Welke, Gitta Kutyniok

NeurIPS 2023 A Fractional Graph Laplacian Approach to Oversmoothing Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok

CVPR 2023 Explaining Image Classifiers with Multiscale Directional Image Representation Stefan Kolek, Robert Windesheim, Hector Andrade-Loarca, Gitta Kutyniok, Ron Levie

NeurIPSW 2023 Expressivity of Spiking Neural Networks Through the Spike Response Model Manjot Singh, Adalbert Fono, Gitta Kutyniok

ICLR 2023 Memorization-Dilation: Modeling Neural Collapse Under Noise Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok

NeurIPS 2023 Neural (Tangent Kernel) Collapse Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou

ICMLW 2023 Sumformer: Universal Approximation for Efficient Transformers Silas Alberti, Niclas Dern, Laura Thesing, Gitta Kutyniok

NeurIPSW 2023 SuperHF: Supervised Iterative Learning from Human Feedback Gabriel Mukobi, Peter Chatain, Su Fong, Robert Windesheim, Gitta Kutyniok, Kush Bhatia, Silas Alberti

ICLR 2023 Unveiling the Sampling Density in Non-Uniform Geometric Graphs Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie

ECCV 2022 Cartoon Explanations of Image Classifiers Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok

NeurIPS 2022 Generalization Analysis of Message Passing Neural Networks on Large Random Graphs Sohir Maskey, Ron Levie, Yunseok Lee, Gitta Kutyniok

NeurIPS 2022 Graph Scattering Beyond Wavelet Shackles Christian Koke, Gitta Kutyniok

ICML 2022 Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization Mariia Seleznova, Gitta Kutyniok

NeurIPS 2022 OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs Yangze Zhou, Gitta Kutyniok, Bruno Ribeiro

JAIR 2021 The Computational Complexity of Understanding Binary Classifier Decisions Stephan Wäldchen, Jan MacDonald, Sascha Hauch, Gitta Kutyniok

JMLR 2021 Transferability of Spectral Graph Convolutional Neural Networks Ron Levie, Wei Huang, Lorenzo Bucci, Michael Bronstein, Gitta Kutyniok