Maximilian Fleissner

11 papers A* 2A 1Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Probabilistic Model for Self-Supervised Learning.
CoRR
Maximilian Fleissner, Pascal Mattia Esser, Debarghya Ghoshdastidar
2025 J jnl
Impact of Bottleneck Layers and Skip Connections on the Generalization of Linear Denoising Autoencoders.
CoRR
Jonghyun Ham, Maximilian Fleissner, Debarghya Ghoshdastidar
2025 A conf
Infinite Width Limits of Self Supervised Neural Networks.
AISTATS
Maximilian Fleissner, Gautham Govind Anil, Debarghya Ghoshdastidar
2025 J jnl
Theoretical Foundations of Representation Learning using Unlabeled Data: Statistics and Optimization.
CoRR
Pascal Mattia Esser, Maximilian Fleissner, Debarghya Ghoshdastidar
2024 J jnl
Data Augmentations Go Beyond Encoding Invariances: A Theoretical Study on Self-Supervised Learning.
CoRR
Shlomo Libo Feigin, Maximilian Fleissner, Debarghya Ghoshdastidar
2024 J jnl
Decision Trees for Interpretable Clusters in Mixture Models and Deep Representations.
CoRR
Maximilian Fleissner, Maedeh Zarvandi, Debarghya Ghoshdastidar
2024 A* conf
Explaining Kernel Clustering via Decision Trees.
ICLR
Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
2024 J jnl
Explaining Kernel Clustering via Decision Trees.
CoRR
Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
2024 J jnl
Infinite Width Limits of Self Supervised Neural Networks.
CoRR
Maximilian Fleissner, Gautham Govind Anil, Debarghya Ghoshdastidar
2024 A* conf
Non-parametric Representation Learning with Kernels.
AAAI
Pascal Mattia Esser, Maximilian Fleissner, Debarghya Ghoshdastidar
2023 J jnl
Non-Parametric Representation Learning with Kernels.
CoRR
Pascal Mattia Esser, Maximilian Fleissner, Debarghya Ghoshdastidar