CERTIFIABLE ROBUSTNESS TO GRAPH PERTURBATIONS

von Bojchevski, Aleksandar
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

Specification mining in high dimensional heterogeneous data sets of large-scale distributed systems

von Mrowca, Artur
Veröffentlicht 2021

Gauss Shift: Density Attractor Clustering Faster Than Mean Shift

von Leibrandt, Richard
Veröffentlicht in ECML/PKDD (2020 : Online) Machine learning and knowledge discovery in databases ; Part 1 (2021)

Invariance-Aware Randomized Smoothing Certificates

von Schuchardt, Jan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 44 of 50 (2023)

SCALABLE NORMALIZING FLOWS FOR PERMUTATION INVARIANT DENSITIES

von BILOŠ, MARIN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 2 of 16 (2022)

FAILING LOUDLY: AN EMPIRICAL STUDY OF METHODS FOR DETECTING DATASET SHIFT

von Rabanser, Stephan
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 2 of 20 (2020)

UNCERTAINTY ON ASYNCHRONOUS TIME EVENT PREDICTION

von Biloš, Marin
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 17 of 20 (2020)

Directional Message Passing on Molecular Graphs via Synthetic Coordinates

von Gasteiger, Johannes
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 19 of 36 (2022)

DIFFUSION IMPROVES GRAPH LEARNING

von Klicpera, Johannes
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 17 of 20 (2020)

Reliable Graph Neural Networks via Robust Aggregation

von Geisler, Simon
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 16 of 27 (2021)

POSTERIOR NETWORK: UNCERTAINTY ESTIMATION WITHOUT OOD SAMPLES VIA DENSITY-BASED PSEUDO-COUNTS

von Charpentier, Bertrand
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 2 of 27 (2021)

GemNet: Universal Directional Graph Neural Networks for Molecules

von Gasteiger, Johannes
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)

SCALABLE OPTIMAL TRANSPORT IN HIGH DIMENSIONS FOR GRAPH DISTANCES, EMBEDDING ALIGNMENT, AND MORE

von KLICPERA, JOHANNES
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

Intriguing Properties of Input-Dependent Randomized Smoothing

von Súkeni´k, Peter
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 35 of 33 (2023)

Are Defenses for Graph Neural Networks Robust?

von Mujkanovic, Felix
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 12 of 50 (2023)

FAST AND FLEXIBLE TEMPORAL POINT PROCESSES WITH TRIANGULAR MAPS

von Shchur, Oleksandr
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 1 of 27 (2021)

Assessing Box Merging Strategies and Uncertainty Estimation Methods in Multimodel Object Detection

von Roza, Felippe Schmoeller
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 workshops ; Part 6 (2020)

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification

von Stadler, Maximilian
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 22 of 36 (2022)

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

von Scholten, Yan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 43 of 50 (2023)

Detecting Anomalous Event Sequences with Temporal Point Processes

von Shchur, Oleksandr
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 16 of 36 (2022)