Nina Miolane
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
5
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Dynamical phases of short-term memory mechanisms in RNNs. | Bariscan Kurtkaya, Fatih Dinc, Mert Yksekgnl, Marta Blanco-Pozo, Ege irakman, Mark J. Schnitzer, Yucel Yemez, Hidenori Tanaka, Peng Yuan, Nina Miolane |
| 2025 | ICML | TopoTune: A Framework for Generalized Combinatorial Complex Neural Networks. | Mathilde Papillon, Guillermo Bernrdez, Claudio Battiloro, Nina Miolane |
| 2024 | CVPR | On Accuracy and Speed of Geodesic Regression: Do Geometric Priors Improve Learning on Small Datasets? | Adele Myers, Nina Miolane |
| 2024 | ICML | Position: Topological Deep Learning is the New Frontier for Relational Learning. | Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi |
| 2023 | CVPR | Quantifying Extrinsic Curvature in Neural Manifolds. | Francisco Acosta, Sophia Sanborn, Khanh Dao Duc, Manu S. Madhav, Nina Miolane |
| 2022 | ArtsIT | PirouNet: Creating Dance Through Artist-Centric Deep Learning. | Mathilde Papillon, Mariel Pettee, Nina Miolane |
| 2022 | ECCV | CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images. | Axel Levy, Frdric Poitevin, Julien N. P. Martel, Youssef S. G. Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein |
| 2020 | CVPR | Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders. | Nina Miolane, Susan P. Holmes |
| 2020 | CVPR | Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks. | Nina Miolane, Frdric Poitevin, Yee-Ting Li, Susan P. Holmes |
| 2018 | MICCAI | Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry. | Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz |
| 2015 | MICCAI | A Survey of Mathematical Structures for Extending 2D Neurogeometry to 3D Image Processing. | Nina Miolane, Xavier Pennec |