Maximilian Fleissner

According to our database, Maximilian Fleissner authored at least 7 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Impact of Bottleneck Layers and Skip Connections on the Generalization of Linear Denoising Autoencoders.

Jonghyun Ham, Maximilian Fleissner, Debarghya Ghoshdastidar

CoRR, May, 2025

A Probabilistic Model for Self-Supervised Learning.

Maximilian Fleissner, Pascal Mattia Esser, Debarghya Ghoshdastidar

CoRR, January, 2025

Infinite Width Limits of Self Supervised Neural Networks.

Maximilian Fleissner, Gautham Govind Anil, Debarghya Ghoshdastidar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Data Augmentations Go Beyond Encoding Invariances: A Theoretical Study on Self-Supervised Learning.

Shlomo Libo Feigin, Maximilian Fleissner, Debarghya Ghoshdastidar

CoRR, 2024

Decision Trees for Interpretable Clusters in Mixture Models and Deep Representations.

Maximilian Fleissner, Maedeh Zarvandi, Debarghya Ghoshdastidar

CoRR, 2024

Explaining Kernel Clustering via Decision Trees.

Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Non-parametric Representation Learning with Kernels.

Pascal Mattia Esser, Maximilian Fleissner, Debarghya Ghoshdastidar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024