Michael Bronstein 
Fisher Flow Matching for Generative Modelling over Discrete Data.
Book Title: Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS)
Oscar Davis‚ Samuel Kessler‚ Mircea Petrache‚ İsmail İlkan Ceylan‚ Michael Bronstein and Avishek Joey Bose 
https://openreview.net/pdf/c16ab010bac44658a3c695f87e0c8d925deca3d4.pdf 

Michael Bronstein 
Future Directions in the Theory of Graph Machine Learning.
Christopher Morris, Fabrizio Frasca, Nadav Dym, Haggai Maron, İsmail İlkan Ceylan, Ron Levie, Derek Lim, Michael Bronstein, Martin Grohe, Stefanie Jegelka 
https://openreview.net/pdf?id=wBr5ozDEKp 

Michael Bronstein 
Homomorphism Counts As Structural Encodings For Graph Learning (ICLR).
Linus Bao, Emily Jin, Michael Bronstein, İsmail İlkan Ceylan, Matthias Lanzinger 
https://arxiv.org/pdf/2410.18676 

Michael Bronstein 
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction.
Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Zachary Quinn, Chenghao Liu, Sarthak Mittal, Nouha Dziri, Michael Bronstein, Yoshua Bengio, Pranam Chatterjee, Alexander Tong, Avishek Joey Bose
https://arxiv.org/abs/2410.08134 

Michael Bronstein 
FORT: Forward-Only Regression Training of Normalizing Flows.
Danyal Rehman, Oscar Davis, Jiarui Lu, Jian Tang, Michael Bronstein, Yoshua Bengio, Alexander Tong, Avishek Joey Bose
https://arxiv.org/abs/2506.01158

Michael Bronstein 
Metric Flow Matching for Smooth Interpolations on the Data Manifold.
Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael Bronstein, Avishek Joey Bose, Francesco Di Giovanni
https://openreview.net/pdf/5fd21860d4ce3d4b1c290c2ac4b4e68d2b82e3a7.pdf 

Michael Bronstein 
Balancing Efficiency And Expressiveness: Subgraph GNNs With Walk-Based Centrality.
Joshua Southern, Yam Eitan, Guy Bar-Shalom, Michael Bronstein, Haggai Maron and Fabrizio Frasca 
https://arxiv.org/pdf/2501.03113 

Michael Bronstein 
Relaxed Equivariance via Multitask Learning.
Ahmed A. Elhag, T. Konstantin Rusch, Francesco Di Giovanni, Michael Bronstein
https://arxiv.org/abs/2410.17878 

Michael Bronstein
Scalable Equilibrium Sampling with Sequential Boltzmann Generators.
CB Tan, AJ Bose, C Lin, L Klein, MM Bronstein, A Tong
https://arxiv.org/abs/2502.18462

Michael Bronstein
Flow-Based Fragment Identification via Contrastive Learning of Binding Site-Specific Latent Representations.
RM Neeser, I Igashov, A Schneuing, MM Bronstein
https://openreview.net/forum?id=bZW1HLT1gI&r

Coralia Cartis
Global Optimality Characterizations and Algorithms for Minimizing Quartically-Regularized Third-Order Taylor Polynomials.
Wenqi Zhu, Coralia Cartis
https://arxiv.org/abs/2504.20259

Jeffrey Giansiracusa 
Projective hypersurfaces in tropical scheme theory I: the Macaulay ideal.
Alex Fink, Jeffrey Giansiracusa, Noah Giansiracusa, Joshua Mundinger
https://arxiv.org/abs/2405.16338

Jeffrey Giansiracusa 
Emergent photons and mechanisms of confinement.
Jeffrey Giansiracusa, David Lanners, Tin Sulejmanpasic
https://arxiv.org/abs/2505.00079

Peter Grindrod 
Modularity, Hierarchical Flows and Symmetry of the Drosophila Connectome.
Grindrod P, Lambiotte R, Sahasrabuddhe R 
https://arxiv.org/abs/2412.13202

Heather Harrington
Cover Learning for Large-Scale Topology Representation.
Luis Scoccola, Uzu Lim, Heather Harrington
https://arxiv.org/abs/2503.09767

Heather Harrington
Discrete signature tensors for persistence landscapes.
Vincenzo Galgano, Heather A. Harrington, Daniel Tolosa
https://arxiv.org/abs/2505.02800

Aideen Fay
Holes in Latent Space: Topological Signatures Under Adversarial Influence.
Aideen Fay, Inés García-Redondo, Qiquan Wang, Haim Dubossarsky, Anthea Monod
https://arxiv.org/abs/2505.20435

Jeffrey Giansiracusa 
Topological Data Analysis of Abelian Magnetic Monopoles in Gauge Theories, to appear in Proceedings of the 41st International Symposium on Lattice Field Theory (LATTICE2024). 
X. Crean, J. Giansiracusa and B. Lucini
https://arXiv.org/2501.19320

Peter Grindrod 
Dynamical Systems on Generalised Klein. Bottles. Entropy 2025, 27, 119.
Grindrod, P.; Yim, K.M.
https://doi.org/10.3390/e27020119

Heather Harrington 
Fibers of point cloud persistence 
David Beers, Heather A Harrington, Jacob Leygonie, Uzu Lim, Louis Theran
https://arxiv.org/abs/2411.08201 

Heather Harrington
Topological model selection: a case-study in tumour-induced angiogenesis.
Robert A McDonald, Helen M Byrne, Heather A Harrington, Thomas Thorne, Bernadette J Stolz
https://arxiv.org/abs/2504.15442

Iolo Jones 
Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension 
https://arxiv.org/abs/2411.04100 

Renaud Lambiotte 
Mean-field approximation for networks with synchrony-driven adaptive coupling. Chaos: An Interdisciplinary Journal of Nonlinear Science, 35(1). 
Fennelly, N., Neff, A., Lambiotte, R., Keane, A., & Byrne, Á.
https://pubs.aip.org/aip/cha/article/35/1/013152/3332426 

Renaud Lambiotte 
Detection of anomalous spatio-temporal patterns of app traffic in response to catastrophic events.  
Medina, S., Babul, S. A., Sahasrabuddhe, R., LaRock, T., Lambiotte, R., & Pedreschi, N.
https://arxiv.org/abs/2409.01355 

Renaud Lambiotte 
Concise network models of memory dynamics reveal explainable patterns in path data.
Sahasrabuddhe R, Lambiotte R, Rosvall M 
https://arxiv.org/abs/2501.08302 

Renaud Lambiotte 
Garbage in Garbage out: Impacts of data quality on criminal network intervention.
Wang Ngai Yeung, Riccardo Di Clemente, Renaud Lambiotte
https://arxiv.org/abs/2501.01508 

Renaud Lambiotte
From reductionism to realism: Holistic mathematical modelling for complex biological systems.
R Nartallo-Kaluarachchi, R Lambiotte, A Goriely
https://arxiv.org/abs/2503.20511

Renaud Lambiotte 
Louvain for signed networks.
Pougué-Biyong, J. N., & Lambiotte, R.
https://arxiv.org/abs/2407.19288 

Renaud Lambiotte 
Matrix-weighted networks for modeling multidimensional dynamics.
Tian, Y., Kojaku, S., Sayama, H., & Lambiotte, R.  
https://arxiv.org/abs/2410.05188 

Renaud Lambiotte 
Strong and weak random walks on signed networks. npj Complexity 2, 4 (2025). 
Babul, S.A., Tian, Y. & Lambiotte, R.
https://www.nature.com/articles/s44260-025-00027-1 

Renaud Lambiotte
Hippocampal Ripple Diversity organises Neuronal Reactivation Dynamics in the Offline Brain.
Manfredi Castelli, Vítor Lopes-dos-Santos, Giuseppe P. Gava, Renaud Lambiotte, David Dupret
https://www.biorxiv.org/content/10.1101/2025.03.11.642571v2

Renaud Lambiotte
Coarse-graining Directed Networks with Ergodic Sets Preserving Diffusive Dynamics.
E Hormann, R Lambiotte
https://arxiv.org/abs/2503.18823

Renaud Lambiotte
Nonequilibrium physics of brain dynamics.
Ramón Nartallo-Kaluarachchi, Morten L. Kringelbach, Gustavo Deco, Renaud Lambiotte, Alain Goriely
https://arxiv.org/abs/2504.12188

Ran Levi 
Foundations of Differential Calculus for modules over posets. 
J. Brodzki, R. Levi, H. Rihiimaki
https://arxiv.org/abs/2307.02444v4 

Terry Lyons 
Higher Order Lipschitz Sandwich Theorems. 
McLeod, Andrew; Lyons, Terry
Journal of the London Mathematical Society 
https://arxiv.org/abs/2404.06849  

Anthea Monod 
Tropical Fréchet Means.
Lin B, Ferry K, Améndola C, Monod A, Yoshida R 
https://arxiv.org/abs/2502.05322 

Anthea Monod 
Tropical Gradient Descent.
Talbut R, Monod A 
https://arxiv.org/abs/2405.19551 

Anthea Monod 
A Topological Gaussian Mixture Model for Bone Marrow Morphology in Leukaemia.
Wang Q, Song A, Batsivari A, Bonnet D, Monod A 
https://arxiv.org/abs/2408.13685 

Anthea Monod
Computing the Tropical Abel–Jacobi Transform and Tropical Distances for Metric Graphs.
Yueqi Cao, Anthea Monod
https://arxiv.org/abs/2504.11619

Gesine Reinert 
Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions.
He, Y., Sandel, A., Wipf, D., Cucuringu, M., Mitani, J., & Reinert, G.
https://arxiv.org/abs/2502.00302  

Gesine Reinert 
A Kernelised Stein Discrepancy for Assessing the Fit of Inhomogeneous Random Graph Models.
Anum Fatima, Gesine Reinert
https://arxiv.org/abs/2505.21580 

Ulrike Tillmann / Heather Harrington 
Topology across Scales on Heterogeneous Cell Data.
Maria Torras-Pérez, Iris H.R. Yoon, Praveen Weeratunga, Ling-Pei Ho, Helen M. Byrne, Ulrike Tillmann, Heather A. Harrington
https://arxiv.org/abs/2505.02717

Terry Lyons 
Signature methods in machine learning.  
EMS Surveys in Mathematical Sciences.
Terry Lyons, Andrew D. McLeod
https://arxiv.org/abs/2206.14674  

Anthea Monod 
On the Limitations of Fractal Dimension as a Measure of Generalization.
Tan CB, Garcia-Redondo I, Wang Q, Bronstein MM, Monod A (NeurIPS 2024) 
https://openreview.net/pdf?id=YO6GVPUrKN 

Anthea Monod 
Stability for Inference with Persistent Homology Rank Functions. Wang Q, García‐Redondo I, Faugère P, Henselman‐Petrusek G, Monod A 
https://arxiv.org/abs/2307.02904   

Anthea Monod 
Tropical Expressivity of Neural Networks.
Lezeau P, Walker T, Cao Y, Bhatia S, Monod A 
https://arxiv.org/abs/2405.20174 

Anthea Monod
Confidence Bands for Multiparameter Persistence Landscapes.
I García-Redondo, A Monod, Q Wang
https://arxiv.org/abs/2504.01113

Edward Pearce-Crump
Permutation Equivariant Neural Networks for Symmetric Tensors.
https://arxiv.org/abs/2503.11276

Gesine Reinert
Triadic structures in multislice networks.
K Ren, T Trauthwein, G Reinert
https://arxiv.org/abs/2504.00508

Gesine Reinert
Individualised Counterfactual Examples Using Conformal Prediction Intervals.
James M. Adams, Gesine Reinert, Lukasz Szpruch, Carsten Maple, Andrew Elliott
https://arxiv.org/abs/2505.22326

Jared Tanner
Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers.
Alireza Naderi, Thiziri Nait Saada, Jared Tanner
https://arxiv.org/abs/2410.07799