Brendan Leigh Ross

According to our database1, Brendan Leigh Ross authored at least 16 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Neural Implicit Manifold Learning for Topology-Aware Density Estimation.
Trans. Mach. Learn. Res., 2024

Inconsistencies In Consistency Models: Better ODE Solving Does Not Imply Better Samples.
CoRR, 2024

A Geometric Framework for Understanding Memorization in Generative Models.
CoRR, 2024

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation.
CoRR, 2024

A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models.
CoRR, 2024

Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections.
CoRR, 2024

A Geometric Explanation of the Likelihood OOD Detection Paradox.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Verifying the Union of Manifolds Hypothesis for Image Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models.
Trans. Mach. Learn. Res., 2022

CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds.
CoRR, 2022

Find Your Friends: Personalized Federated Learning with the Right Collaborators.
CoRR, 2022

The Union of Manifolds Hypothesis and its Implications for Deep Generative Modelling.
CoRR, 2022

Neural Implicit Manifold Learning for Topology-Aware Generative Modelling.
CoRR, 2022

Denoising Deep Generative Models.
Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022

2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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