Learning sparse codes from compressed representations with biologically plausible local wiring constraints. - Kion Fallah; Adam Willats; Ninghao Liu; Christopher Rozell (NeurIPS, 2020)

Variational Sparse Coding with Learned Thresholding. - Kion Fallah; Christopher J. Rozell (ICML, 2022)

Oracle Guided Image Synthesis with Relative Queries. - Alec Helbling; Christopher John Rozell; Matthew R. O'Shaughnessy; Kion Fallah (CoRR, 2022)

PrefGen: Preference Guided Image Generation with Relative Attributes. - Alec Helbling; Christopher J. Rozell; Matthew R. O'Shaughnessy; Kion Fallah (CoRR, 2023)

Learning Identity-Preserving Transformations on Data Manifolds. - Marissa Catherine Connor; Kion Fallah; Christopher John Rozell (Trans. Mach. Learn. Res., 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 to Drive via Asymmetric Self-Play. - Chris Zhang 001; Sourav Biswas 001; Kelvin Wong; Kion Fallah; Lunjun Zhang; Dian Chen; Sergio Casas 002; Raquel Urtasun (ECCV (62), 2024)

Manifold Contrastive Learning with Variational Lie Group Operators. - Kion Fallah; Alec Helbling; Kyle A. Johnsen; Christopher John Rozell (Trans. Mach. Learn. Res., 2024)

Manifold Learning of Neural Representations for Efficient Machine Learning Systems. - Kion Fallah (2024)