We are presenting several recent works at NeurIPS this year. Congratulations to all authors!
Main conference:
Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings by Raphael Pellegrin*, Lukas Fesser*, Melanie Weber | Fri, 12/5, 4:30 PM – 7:30 PM, Exhibit Hall C,D,E #3804
Workshops
Towards distillation guarantees under algorithmic alignment by Thien Le, Melanie Weber | DiffCoALG
Manifold Learning for Cosmic Structures by Ana Sofia Uzoy, Claire Lamman, Melanie Weber | ML4PS
Balancing Fairness and Accuracy in Graph Learning via Fairness-Constrained Rewiring led by Jason Wang, Lukas Fesser, Melanie Weber *oral presentation* | NeurReps
Curvature Estimation on Data Manifolds via Diffusion-augmented Sampling by Jason Wang, Bobak Kiani, Melanie Weber | NeurReps
Data Augmentation: A Fourier Analysis Perspective by Behrooz Tahmasebi, Melanie Weber, Stefanie Jegelka | NeurReps
Bispectral OT: Dataset Comparison using Symmetry-Aware Optimal Transport by Annabel Ma, Kaiying Hou, David Alvarez-Melis, Melanie Weber | NeurReps
On a Geometry of Interbrain Networks by Nicolas Hinrichs, Noah Guzman, Melanie Weber | NeurReps
Priors in Time: A Generative View of Sparse Autoencoders for Sequential Representations by Ekdeep Singh Lubana*, Can Rager*, Sai Sumedh R Hindupur*, Valerie Costa, Greta Tuckute, Oam Patel, Sonia Krishna Murthy, Thomas Fel, Daniel Wurgaft, Eric J Bigelow, Johnny Lin, Demba Ba, Martin Wattenberg, Fernanda Viegas, Melanie Weber, Aaron Mueller | CogInterp