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#p_kutyniok

KCC+25

Learning Interpretable Queries for Explainable Image Classification With Information Pursuit

ICCV 2025

#p_kutyniok

KBS+25

Improved Probabilistic Regression Using Diffusion Models

Preprint (Oct. 2025)

#p_kutyniok

BFD+25

The Price of Robustness: Stable Classifiers Need Overparameterization

HiLD @ICML 2025

#p_kutyniok

NAF+25

Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time

ICML 2025

#p_kutyniok

LK25

Expressivity of Deep Neural Networks

Preprint (Jul. 2025)

#p_kutyniok

BFK25

Mathematical Algorithm Design for Deep Learning Under Societal and Judicial Constraints: The Algorithmic Transparency Requirement

Applied and Computational Harmonic Analysis 77.101763. Jun. 2025

#p_kutyniok

MKL25

Generalization Bounds for Message Passing Networks on Mixture of Graphons

SIAM Journal on Mathematics of Data Science 7.2. Jun. 2025

#p_kutyniok

BFF+25

Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility Through Quantization

Journal of Fourier Analysis and Applications 31.35. May. 2025

#p_kutyniok

FMC+25

Conflicting Biases at the Edge of Stability: Norm Versus Sharpness Regularization

Preprint (May. 2025)

#p_kutyniok #p_maly

MPJ+25

Graph Representational Learning: When Does More Expressivity Hurt Generalization?

Preprint (May. 2025)

#p_kutyniok

SDW+25

Interpretable Robotic Friction Learning via Symbolic Regression

Preprint (May. 2025)

#p_kutyniok

BMS+25

Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall

Climate Change AI @ICLR 2025

#p_kutyniok

SBH+25

ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization

ICLR 2025

#p_kutyniok

HSK25

Robust Identifiability for Symbolic Recovery of Differential Equations

ICASSP 2025

#p_kutyniok

Kut25

How Can Reliability of Artificial Intelligence Be Ensured?

Harvard Data Science Review 7.2. Apr. 2025

#p_kutyniok

BSL+25

An Axiomatic Assessment of Entropy- And Variance-Based Uncertainty Quantification in Regression

Preprint (Apr. 2025)

#p_huellermeier #p_kutyniok

BSK25

Probabilistic Neural Operators for Functional Uncertainty Quantification

Transactions on Machine Learning Research. Mar. 2025

#p_kutyniok

FSA+25

Sustainable AI: Mathematical Foundations of Spiking Neural Networks

Preprint (Mar. 2025)

#p_kutyniok

BKS+24

Compositional Construction of Barrier Functions for Switched Impulsive Systems

CDC 2024

#p_kutyniok

BSK24

Probabilistic Predictions With Fourier Neural Operators

BDU @NeurIPS 2024

#p_kutyniok

PMW+24

Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning

NeurIPS 2024

#p_kutyniok

BBF+24

Computing-Model and Computing-Hardware Selection for ICT Under Societal and Judicial Constraints

IEEE Access 12. Dec. 2024

#p_kutyniok

SIW+24

Learning-Based Adaption of Robotic Friction Models

Robotics and Computer-Integrated Manufacturing 89. Oct. 2024

#p_kutyniok

SBB+24

Symbolic Recovery of Differential Equations: The Identifiability Problem

Preprint (Oct. 2024)

#p_kutyniok

YLK+24

Dataset of Pathloss and ToA Radio Maps With Localization Application

Preprint (Sep. 2024)

#p_kutyniok

BFK24

A Mathematical Framework for Computability Aspects of Algorithmic Transparency

ISIT 2024

#p_kutyniok

YFL+24

Overview of the First Pathloss Radio Map Prediction Challenge

IEEE Open Journal of Signal Processing 5. Jun. 2024

#p_kutyniok

LBK24

Computability of Optimizers

IEEE Transactions on Information Theory 70.4. Apr. 2024

#p_kutyniok

LBK24a

Error Estimation for Physics-Informed Neural Networks Approximating Semilinear Wave Equations

Preprint (Mar. 2024)

#p_kutyniok

SFK24b

Expressivity of Spiking Neural Networks

Preprint (Mar. 2024)

#p_kutyniok

MPB+23

A Fractional Graph Laplacian Approach to Oversmoothing

NeurIPS 2023

#p_kutyniok

SWG+23

Neural (Tangent Kernel) Collapse

NeurIPS 2023

#p_kutyniok

SFK23

Are Spiking Neural Networks More Expressive Than Artificial Neural Networks?

UniReps @NeurIPS 2023

#p_kutyniok

BFK23

Limitations of Deep Learning for Inverse Problems on Digital Hardware

IEEE Transactions on Information Theory 69.12. Dec. 2023

#p_kutyniok

YLK+23

Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach

IEEE Transactions on Wireless Communications 22.12. Dec. 2023

#p_kutyniok

AHC+23

Neural Poisson Surface Reconstruction: Resolution-Agnostic Shape Reconstruction From Point Clouds

Preprint (Nov. 2023)

#p_cremers #p_kutyniok

YJR+23

Overview of the Urban Wireless Localization Competition

MLSP 2023

#p_kutyniok

BBK23a

Complexity Blowup for Solutions of the Laplace and the Diffusion Equation

Preprint (Sep. 2023)

#p_kutyniok

ADT+23

Sumformer: Universal Approximation for Efficient Transformers

ICML 2023

#p_kutyniok

Kut23

An Introduction to the Mathematics of Deep Learning

European Congress of Mathematics. Jul. 2023

#p_kutyniok

BBK23

Reliable AI: Does the Next Generation Require Quantum Computing?

Preprint (Jul. 2023)

#p_kutyniok

SBB+23

The Uniqueness Problem of Physical Law Learning

ICASSP 2023

#p_kutyniok

YJL+23

The First Pathloss Radio Map Prediction Challenge

ICASSP 2023

#p_kutyniok

PBG+23

Unveiling the Sampling Density in Non-Uniform Geometric Graphs

ICLR 2023

#p_guennemann #p_kutyniok

BFK22

Non-Computability of the Pseudoinverse on Digital Computers

Preprint (Dec. 2022)

#p_kutyniok

KK22a

Graph Scattering Beyond Wavelet Shackles

NeurIPS 2022

#p_cremers #p_kutyniok

MLL+22

Generalization Analysis of Message Passing Neural Networks on Large Random Graphs

NeurIPS 2022

#p_kutyniok

ZKR22

NeurIPS 2022

#p_kutyniok
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0001-01-01 - Last modified: 0001-01-01