Kion Fallah

According to our database, Kion Fallah authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Efficient Equivariant Transformer for Self-Driving Agent Modeling.

Scott Xu, Dian Chen, Kelvin Wong, Chris Zhang, Kion Fallah, Raquel Urtasun

CoRR, April, 2026

2024

Manifold Learning of Neural Representations for Efficient Machine Learning Systems.

Kion Fallah

PhD thesis, 2024

Manifold Contrastive Learning with Variational Lie Group Operators.

Kion Fallah, Alec Helbling, Kyle A. Johnsen, Christopher John Rozell

Trans. Mach. Learn. Res., 2024

Learning to Drive via Asymmetric Self-Play.

Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Active Learning of Ordinal Embeddings: A User Study on Football Data.

Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Björn M. Eskofier, Christopher John Rozell, Christopher Mutschler

Trans. Mach. Learn. Res., 2023

Learning Identity-Preserving Transformations on Data Manifolds.

Marissa Catherine Connor, Kion Fallah, Christopher John Rozell

Trans. Mach. Learn. Res., 2023

PrefGen: Preference Guided Image Generation with Relative Attributes.

Alec Helbling, Christopher J. Rozell, Matthew R. O'Shaughnessy, Kion Fallah

CoRR, 2023

2022

Oracle Guided Image Synthesis with Relative Queries.

Alec Helbling, Christopher John Rozell, Matthew R. O'Shaughnessy, Kion Fallah

CoRR, 2022

Variational Sparse Coding with Learned Thresholding.

Kion Fallah, Christopher J. Rozell

Proceedings of the International Conference on Machine Learning, 2022

2020

Learning sparse codes from compressed representations with biologically plausible local wiring constraints.

Kion Fallah, Adam Willats, Ninghao Liu, Christopher Rozell

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020