Differentiable Learning of Comb. Algorithms

Check out our latest work on Geometric Machine Learning at #NeurIPS this week. We are recruiting PhD students and postdocs this cycle — please reach out if you are interested in joining us. Main conference: Higher-Order Learning with Graph Neural Networks via Hypergraph Encodings led by Raphael Pellegrin, Lukas Fesser Fri, 12/5, 4:30 PM – 7:30 PM, Exhibit Hall C,D,E #3804 openreview.net/pdf?id=oeMK0J… Workshops: Towards distillation guarantees under algorithmic alignment @diffcoalg led by @tle_96 openreview.net/pdf?id=RQti5I… Manifold Learning for Cosmic Structures @ ML4PS led by Ana Sofia Uzoy /w @ClaireLamman openreview.net/pdf?id=mMVdTG… Balancing Fairness and Accuracy in Graph Learning via Fairness-Constrained Rewiring @neur_reps *oral presentation* led by Jason Wang /w Lukas Fesser openreview.net/pdf?id=msfmca… Curvature Estimation on Data Manifolds via Diffusion-augmented Sampling @neur_reps led by Jason Wang /w @bobak_kiani openreview.net/pdf?id=zu24PD… Data Augmentation: A Fourier Analysis Perspective @neur_reps led by @B_Tahmasebi /w @StefanieJegelka openreview.net/pdf?id=RwPRMX… Bispectral OT: Dataset Comparison using Symmetry-Aware Optimal Transport @neur_reps led by Annabel Ma /w @kaiyinghou @elmelis openreview.net/pdf?id=5XvfFi… On a Geometry of Interbrain Networks @neur_reps led by @nico_hinrichs /w Noah Guzman openreview.net/pdf?id=ouNpUP… Priors in Time: A Generative View of Sparse Autoencoders for Sequential Representations @CogInterp led by @EkdeepL @can_rager @sumedh_hrs openreview.net/pdf?id=WjDtKp…