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#p_guennemann

SKF+25a

Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation

ICCV 2025

#p_guennemann #p_navab

FGG+25

Adversarial Robustness of Graph Transformers

Transactions on Machine Learning Research. Oct. 2025

#p_guennemann

LSG+25

UnHiPPO: Uncertainty-Aware Initialization for State Space Models

ICML 2025

#p_guennemann

GSG+25

Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks

Transactions on Machine Learning Research. Jun. 2025

#p_ghoshdastidar #p_guennemann

KLL+25

Flow Matching With Gaussian Process Priors for Probabilistic Time Series Forecasting

ICLR 2025

#p_guennemann

SGG+25

Exact Certification of (Graph) Neural Networks Against Label Poisoning

ICLR 2025

#p_guennemann

SGG+25a

Accurate Ab-Initio Neural-Network Solutions to Large-Scale Electronic Structure Problems

Preprint (Apr. 2025)

#p_guennemann

GSG+24

Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks

AdvML-Frontiers @NeurIPS 2024

#p_guennemann

DIC+24

Shaving Weights With Occam's Razor: Bayesian Sparsification for Neural Networks Using the Marginal Likelihood

NeurIPS 2024

#p_fortuin #p_guennemann

KCZ+24

Expected Probabilistic Hierarchies

NeurIPS 2024

#p_guennemann

KGL+24

Assessing Robustness via Score-Based Adversarial Image Generation

Transactions on Machine Learning Research. Dec. 2024

#p_guennemann

WWP+24

Towards Efficient Posterior Sampling in Deep Neural Networks via Symmetry Removal (Extended Abstract)

IJCAI 2024

#p_bischl #p_guennemann #p_ruegamer

FGG+24

Relaxing Graph Transformers for Adversarial Attacks

Differentiable Almost Everything @ICML 2024

#p_guennemann

WKH+24

Expressivity and Generalization: Fragment-Biases for Molecular GNNs

Preprint (Jun. 2024)

#p_guennemann #p_theis

SSB+23

Hierarchical Randomized Smoothing

NeurIPS 2023

#p_guennemann

SSG23

Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More

NeurIPS 2023

#p_guennemann

WWP+23

Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry

ECML-PKDD 2023

#p_bischl #p_guennemann #p_ruegamer

BRS+23

Modeling Temporal Data as Continuous Functions With Stochastic Process Diffusion

ICML 2023

#p_guennemann

WGC+23

Uncertainty Estimation for Molecules: Desiderata and Methods

ICML 2023

#p_guennemann

LSD+23

Predicting Cellular Responses to Complex Perturbations in High‐throughput Screens

Molecular Systems Biology 19.e11517. Jun. 2023

#p_guennemann #p_theis

SHL+23

The Power of Motifs as Inductive Bias for Learning Molecular Distributions

Preprint (Jun. 2023)

#p_guennemann #p_theis

PBG+23

Unveiling the Sampling Density in Non-Uniform Geometric Graphs

ICLR 2023

#p_guennemann #p_kutyniok

Shc22

Modeling Continuous-Time Event Data With Neural Temporal Point Processes

Dissertation TU München. Dec. 2022

#p_guennemann

HBK+22

Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution

NeurIPS 2022

#p_guennemann #p_kilbertus #p_theis

SSG+22

Randomized Message-Interception Smoothing: Gray-Box Certificates for Graph Neural Networks

NeurIPS 2022

#p_guennemann

HBK+22a

Predicting Single-Cell Perturbation Responses for Unseen Drugs

MLDD @ICML 2022

#p_guennemann #p_kilbertus #p_theis

Zue22

Adversarial Robustness of Graph Neural Networks

Dissertation TU München. May. 2022

#p_guennemann

HFG+21

Graph Representation Learning for Single-Cell Biology

Current Opinion in Systems Biology 28.100347. Dec. 2021

#p_guennemann #p_theis

BG21

Scalable Normalizing Flows for Permutation Invariant Densities

ICML 2021

#p_guennemann

SBK+21

Collective Robustness Certificates - Exploiting Interdependence in Graph Neural Networks

ICLR 2021

#p_guennemann

GZG20

Reliable Graph Neural Networks via Robust Aggregation

NeurIPS 2020

#p_guennemann

SGB+20

Fast and Flexible Temporal Point Processes With Triangular Maps

NeurIPS 2020

#p_guennemann

ZG20

Certifiable Robustness of Graph Convolutional Networks Under Structure Perturbation

KDD 2020

#p_guennemann

KGG20

Directional Message Passing for Molecular Graphs

ICLR 2020

#p_guennemann

SBG20

Intensity-Free Learning of Temporal Point Processes

ICLR 2020

#p_guennemann

BCG19

Uncertainty on Asynchronous Time Event Prediction

NeurIPS 2019

#p_guennemann

BG19a

Certifiable Robustness to Graph Perturbations

NeurIPS 2019

#p_guennemann

GWG19

Diffusion Improves Graph Learning

NeurIPS 2019

#p_guennemann

BG19

Adversarial Attacks on Node Embeddings via Graph Poisoning

ICML 2019

#p_guennemann
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0001-01-01 - Last modified: 0001-01-01