Bastian Rieck
26 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
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Conferences
ICML (9)
ICLR (8)
NIPS (6)
MLHC (2)
JMLR (1)
Top co-authors
Keywords
topological data analysis
(6)
persistent homology
(3)
graph classification
(3)
time series classification
(2)
node feature
(2)
convolutional neural network
(2)
graph neural network
(2)
weisfeiler-lehman algorithm
(2)
latent representation
(2)
graph kernel
(2)
graph representation learning
(1)
gaussian process
(1)
random walk
(1)
intrinsic dimension
(1)
model compression
(1)
permutation equivariance
(1)
alzheimer disease
(1)
image classification
(1)
riemannian geometry
(1)
dynamic time warping
(1)
Papers
MANTRA: The Manifold Triangulations Assemblage
ICLR 2025
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
ICML 2025
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets
ICML 2025
MAGNet: Motif-Agnostic Generation of Molecules from Scaffolds
ICLR 2025
Metric Space Magnitude for Evaluating the Diversity of Latent Representations
NIPS 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning
ICML 2024
Differentiable Euler Characteristic Transforms for Shape Classification
ICLR 2024
Simplicial Representation Learning with Neural $k$-Forms
ICLR 2024
Mapping the Multiverse of Latent Representations
ICML 2024
Topological Singularity Detection at Multiple Scales
ICML 2023
Weisfeiler and Leman go Machine Learning: The Story so far
JMLR 2023
Curvature Filtrations for Graph Generative Model Evaluation
NIPS 2023
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
ICLR 2023
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
ICLR 2022
Topological Graph Neural Networks
ICLR 2022
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data
NIPS 2022
On Measuring Excess Capacity in Neural Networks
NIPS 2022
Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimerβs Disease classification
MLHC 2021
Graph Filtration Learning
ICML 2020
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
NIPS 2020
Set Functions for Time Series
ICML 2020
Topological Autoencoders
ICML 2020
Wasserstein Weisfeiler-Lehman Graph Kernels
NIPS 2019
A Persistent Weisfeiler-Lehman Procedure for Graph Classification
ICML 2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
ICLR 2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
MLHC 2019