diff --git a/content/publications.md b/content/publications.md
index 5d75c68..e84a3c9 100644
--- a/content/publications.md
+++ b/content/publications.md
@@ -1,5 +1,7 @@
## Preprints
+- C. Coupette†, J. Wayland†, E. Simons, and B. Rieck: [*No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets*](https://arxiv.org/abs/2502.02379), Preprint, 2025
+ [\[Preprint\]](https://arxiv.org/abs/2502.02379) • [\[BibTeX\]](Coupette25a.bib)
- B. Rieck: [*Topology Meets Machine Learning: An Introduction Using the Euler Characteristic Transform*](https://arxiv.org/abs/2410.17760), Preprint, 2024
[\[Preprint\]](https://arxiv.org/abs/2410.17760) • [\[BibTeX\]](Rieck24a.bib)
- I. Cannistraci, E. Rodolà, and B. Rieck: [*Detecting and Approximating Redundant Computational Blocks in Neural Networks*](https://arxiv.org/abs/2410.04941), Preprint, 2024
@@ -8,8 +10,6 @@
[\[Preprint\]](https://arxiv.org/abs/2410.18987) • [\[BibTeX\]](Roell24b.bib)
- J. von Rohrscheidt and B. Rieck: [*Diss-L-Ect: Dissecting Graph Data With Local Euler Characteristic Transforms*](https://arxiv.org/abs/2410.02622), Preprint, 2024
[\[Preprint\]](https://arxiv.org/abs/2410.02622) • [\[BibTeX\]](vonRohrscheidt24a.bib)
-- R. Ballester†, E. Röell†, D. Bin Schmid†, M. Alain†, S. Escalera, C. Casacuberta, and B. Rieck: [*MANTRA: The Manifold Triangulations Assemblage*](https://arxiv.org/abs/2410.02392), Preprint, 2024
- [\[Preprint\]](https://arxiv.org/abs/2410.02392) • [\[BibTeX\]](Ballester24b.bib)
- K. Limbeck and B. Rieck: [*Detecting Spatial Dependence in Transcriptomics Data Using Vectorised Persistence Diagrams*](https://arxiv.org/abs/2409.03575), Preprint, 2024
[\[Preprint\]](https://arxiv.org/abs/2409.03575) • [\[BibTeX\]](Limbeck24b.bib)
- J. Wayland, R. J. Funk, and B. Rieck: [*Characterizing Physician Referral Networks With Ricci Curvature*](https://arxiv.org/abs/2408.16022), Preprint, 2024
@@ -24,8 +24,6 @@
[\[Preprint\]](https://arxiv.org/abs/2309.03616) • [\[BibTeX\]](Srambical23a.bib)
- B. Rieck and C. Coupette: [*Evaluating the “Learning on Graphs” Conference Experience*](https://arxiv.org/abs/2306.00586), Preprint, 2023
[\[Preprint\]](https://arxiv.org/abs/2306.00586) • [\[BibTeX\]](Rieck23b.bib)
-- L. Hetzel†, J. Sommer†, B. Rieck, F. Theis, and S. Günnemann: [*MAGNet: Motif-Agnostic Generation of Molecules From Shapes*](https://arxiv.org/abs/2305.19303), Preprint, 2023
- [\[Preprint\]](https://arxiv.org/abs/2305.19303) • [\[BibTeX\]](Hetzel23a.bib)
- D. Bhaskar†, J. Moore†, F. Gao, B. Rieck, F. Khasawneh, E. Munch, V. Greco‡, and S. Krishnaswamy‡: [*Capturing Spatiotemporal Signaling Patterns in Cellular Data With Geometric Scattering Trajectory Homology*](https://dx.doi.org/10.1101/2023.03.22.533807), Preprint, 2023
[\[Preprint\]](https://biorxiv.org/content/10.1101/2023.03.22.533807) • [\[BibTeX\]](Bhaskar23a.bib)
- C. Weis†, B. Rieck†, S. Balzer†, A. Cuénod, A. Egli, and K. Borgwardt: [*Improved MALDI-TOF MS Based Antimicrobial Resistance Prediction Through Hierarchical Stratification*](https://dx.doi.org/10.1101/2022.04.13.488198), Preprint, 2022
@@ -38,8 +36,17 @@
presentation at the ICML Workshop on the Art of
Learning with Missing Values (ARTEMISS)
+## 2025
+
+- L. Hetzel†, J. Sommer†, B. Rieck, F. Theis, and S. Günnemann: [*MAGNet: Motif-Agnostic Generation of Molecules From Shapes*](https://arxiv.org/abs/2305.19303), International Conference on Learning Representations, 2025 (in press)
+ [\[Preprint\]](https://arxiv.org/abs/2305.19303) • [\[BibTeX\]](Hetzel25a.bib)
+- Y. Zhang, L. Mezrag, X. Sun, C. Xu, K. Macdonald, D. Bhaskar, S. Krishnaswamy‡, G. Wolf‡, and B. Rieck‡: [*Principal Curvatures Estimation With Applications to Single Cell Data*](https://arxiv.org/abs/2502.03750), IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025 (in press)
+ [\[Preprint\]](https://arxiv.org/abs/2502.03750) • [\[BibTeX\]](Zhang25a.bib)
+
## 2024
+- R. Ballester†, E. Röell†, D. Bin Schmid†, M. Alain†, S. Escalera, C. Casacuberta, and B. Rieck: [*MANTRA: The Manifold Triangulations Assemblage*](https://arxiv.org/abs/2410.02392), International Conference on Learning Representations, 2024 (in press)
+ [\[Preprint\]](https://arxiv.org/abs/2410.02392) • [\[BibTeX\]](Ballester25a.bib)
- D. Buffelli†, F. Soleymani†, and B. Rieck: [*CliquePH: Higher-Order Information for Graph Neural Networks Through Persistent Homology on Clique Graphs*](https://arxiv.org/abs/2409.08217), Proceedings of the Third Learning on Graphs Conference, 2024 (in press)
[\[Preprint\]](https://arxiv.org/abs/2409.08217) • [\[BibTeX\]](Buffelli24a.bib)
- J. von Rohrscheidt, B. Rieck‡, and S. M. Schmon‡: [*Bayesian Computation Meets Topology*](https://openreview.net/forum?id=0h1DtRK6dA), Transactions on Machine Learning Research, 2024
@@ -48,7 +55,7 @@ Learning with Missing Values (ARTEMISS)
[\[BibTeX\]](Alain24a.bib)
- R. Ballester and B. Rieck: [*On the Expressivity of Persistent Homology in Graph Learning*](https://arxiv.org/abs/2302.09826), Proceedings of the Third Learning on Graphs Conference, 2024 (in press)
[\[Preprint\]](https://arxiv.org/abs/2302.09826) • [\[BibTeX\]](Ballester24a.bib)
-- K. Limbeck, R. Andreeva, R. Sarkar, and B. Rieck: [*Metric Space Magnitude for Evaluating the Diversity of Latent Representations*](https://arxiv.org/abs/2311.16054), Advances in Neural Information Processing Systems, Volume 37, 2024 (in press)
+- K. Limbeck, R. Andreeva, R. Sarkar, and B. Rieck: [*Metric Space Magnitude for Evaluating the Diversity of Latent Representations*](https://proceedings.neurips.cc/paper_files/paper/2024/file/dfc24bd3ec5d74960e104268bbb52849-Paper-Conference.pdf), Advances in Neural Information Processing Systems, Volume 37, pp. 123911--123953, 2024
[\[Preprint\]](https://arxiv.org/abs/2311.16054) • [\[BibTeX\]](Limbeck24a.bib)
- T. Papamarkou, T. Birdal, M. Bronstein, G. Carlsson, J. Curry, Y. Gao, M. Hajij, R. Kwitt, P. Liò, P. Di Lorenzo, V. Maroulas, N. Miolane, F. Nasrin, K. N. Ramamurthy, B. Rieck, S. Scardapane, M. T. Schaub, P. Veličković, B. Wang, Y. Wang, G. Wei, and G. Zamzmi: [*Position: Topological Deep Learning Is the New Frontier for Relational Learning*](https://proceedings.mlr.press/v235/papamarkou24a.html), Proceedings of the 41st International Conference on Machine Learning, Number 235, pp. 39529--39555, 2024
[\[Preprint\]](https://arxiv.org/abs/2402.08871) • [\[BibTeX\]](Papamarkou24a.bib)
diff --git a/static/research/Ballester23a.bib b/static/research/Ballester23a.bib
deleted file mode 100644
index f9a0e6f..0000000
--- a/static/research/Ballester23a.bib
+++ /dev/null
@@ -1,10 +0,0 @@
-@unpublished{Ballester23a,
- archiveprefix = {arXiv},
- author = {Rubén Ballester and Bastian Rieck},
- author+an = {2=highlight},
- eprint = {2302.09826},
- primaryclass = {cs.LG},
- title = {On the Expressivity of Persistent Homology in Graph Learning},
- type = {Preprint},
- year = {2023},
-}
diff --git a/static/research/Ballester24b.bib b/static/research/Ballester25a.bib
similarity index 71%
rename from static/research/Ballester24b.bib
rename to static/research/Ballester25a.bib
index 4380916..6643c38 100644
--- a/static/research/Ballester24b.bib
+++ b/static/research/Ballester25a.bib
@@ -1,10 +1,12 @@
-@unpublished{Ballester24b,
+@inproceedings{Ballester25a,
archiveprefix = {arXiv},
author = {Rubén Ballester and Ernst Röell and Daniel Bin Schmid and Mathieu Alain and Sergio Escalera and Carles Casacuberta and Bastian Rieck},
author+an = {1=first; 2=first; 3=first; 4=first; 7=highlight},
+ booktitle = {International Conference on Learning Representations},
eprint = {2410.02392},
+ keywords = {CORE-A*},
primaryclass = {cs.LG},
+ pubstate = {inpress},
title = {MANTRA: The Manifold Triangulations Assemblage},
- type = {Preprint},
year = {2024},
}
diff --git a/static/research/Coupette25a.bib b/static/research/Coupette25a.bib
new file mode 100644
index 0000000..cd1b882
--- /dev/null
+++ b/static/research/Coupette25a.bib
@@ -0,0 +1,10 @@
+@unpublished{Coupette25a,
+ archiveprefix = {arXiv},
+ author = {Corinna Coupette and Jeremy Wayland and Emily Simons and Bastian Rieck},
+ author+an = {1=first; 2=first; 4=highlight},
+ eprint = {2502.02379},
+ primaryclass = {cs.LG},
+ title = {No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets},
+ type = {Preprint},
+ year = {2025},
+}
diff --git a/static/research/Hetzel23a.bib b/static/research/Hetzel25a.bib
similarity index 66%
rename from static/research/Hetzel23a.bib
rename to static/research/Hetzel25a.bib
index ae5dd2d..e1dc375 100644
--- a/static/research/Hetzel23a.bib
+++ b/static/research/Hetzel25a.bib
@@ -1,10 +1,12 @@
-@unpublished{Hetzel23a,
+@inproceedings{Hetzel25a,
archiveprefix = {arXiv},
author = {Leon Hetzel and Johanna Sommer and Bastian Rieck and Fabian Theis and Stephan Günnemann},
author+an = {1=first; 2=first; 3=highlight},
+ booktitle = {International Conference on Learning Representations},
eprint = {2305.19303},
+ keywords = {CORE-A*},
primaryclass = {physics.chem-ph},
+ pubstate = {inpress},
title = {{MAGNet}: Motif-Agnostic Generation of Molecules from Shapes},
- type = {Preprint},
- year = {2023},
+ year = {2025},
}
diff --git a/static/research/Limbeck24a.bib b/static/research/Limbeck24a.bib
index bebb2f9..692ec35 100644
--- a/static/research/Limbeck24a.bib
+++ b/static/research/Limbeck24a.bib
@@ -3,12 +3,14 @@ @inproceedings{Limbeck24a
author = {Katharina Limbeck and Rayna Andreeva and Rik Sarkar and Bastian Rieck},
author+an = {4=highlight},
booktitle = {Advances in Neural Information Processing Systems},
+ editor = {A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang},
eprint = {2311.16054},
keywords = {CORE-A*},
+ pages = {123911--123953},
primaryclass = {cs.LG},
publisher = {Curran Associates, Inc.},
- pubstate = {inpress},
title = {Metric Space Magnitude for Evaluating the Diversity of Latent Representations},
+ url = {https://proceedings.neurips.cc/paper_files/paper/2024/file/dfc24bd3ec5d74960e104268bbb52849-Paper-Conference.pdf},
volume = {37},
year = {2024},
}
diff --git a/static/research/Zhang25a.bib b/static/research/Zhang25a.bib
new file mode 100644
index 0000000..691abfc
--- /dev/null
+++ b/static/research/Zhang25a.bib
@@ -0,0 +1,11 @@
+@inproceedings{Zhang25a,
+ archiveprefix = {arXiv},
+ author = {Yanlei Zhang and Lydia Mezrag and Xingzhi Sun and Charles Xu and Kincaid Macdonald and Dhananjay Bhaskar and Smita Krishnaswamy and Guy Wolf and Bastian Rieck},
+ author+an = {7=last; 8=last; 9=last,highlight},
+ booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing~(ICASSP)},
+ eprint = {2502.03750},
+ primaryclass = {cs.LG},
+ pubstate = {inpress},
+ title = {Principal Curvatures Estimation with Applications to Single Cell Data},
+ year = {2025},
+}