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Pascal Esser

Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
2021 · Esser, Pascal Mattia, Vankadara, Leena Chennuru, et al. · arXiv (Cornell University) · 9
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Non-parametric Representation Learning with Kernels
2024 · Pascal Esser, Maximilian Fleissner, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 4
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Near-Optimal Comparison Based Clustering
2020 · Perrot, Michaël, Esser, Pascal Mattia, et al. · arXiv (Cornell University) · 4
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When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
2025 · Gautham Govind Anil, Pascal Esser, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1
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New Insights into Graph Convolutional Networks using Neural Tangent Kernels
2021 · Sabanayagam, Mahalakshmi, Esser, Pascal, et al. · arXiv (Cornell University) · 1
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SCORE: Spectral Correlation Estimation for Multivariate Gaussians
2026 · Bülte, Christopher, Partow, Emil, et al. · arXiv (Cornell University)
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Functional Degeneracy in Neural Networks: Measurement and Pruning
2026 · Matveev, Maria, Esser, Pascal, et al. · arXiv (Cornell University)
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Towards an Expressivity-Normalized Energy-Demand Comparison of ANNs and SNNs
2026 · Kranzlmüller, Miriam, Esser, Pascal, et al. · arXiv (Cornell University)
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Beyond Linear and Overcomplete Regimes: A Mean-Field Analysis of Bottleneck Autoencoders
2026 · Das, Santanu, Bilas, Ramyak, et al. · arXiv (Cornell University)
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Theoretical Foundations of Representation Learning using Unlabeled Data: Statistics and Optimization
2025 · Esser, Pascal, Fleissner, Maximilian, et al. · arXiv (Cornell University)
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A Probabilistic Model for Non-Contrastive Learning
2025 · Fleissner, Maximilian, Esser, Pascal, et al. · arXiv (Cornell University)
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Cluster Specific Representation Learning
2024 · Sabanayagam, Mahalakshmi, Al-Dabooni, Omar, et al. · arXiv (Cornell University)
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Representation Learning Dynamics of Self-Supervised Models
2023 · Esser, Pascal, Mukherjee, Satyaki, et al. · arXiv (Cornell University)
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Improved Representation Learning Through Tensorized Autoencoders
2022 · Esser, Pascal Mattia, Mukherjee, Satyaki, et al. · arXiv (Cornell University)
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Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel
2022 · Sabanayagam, Mahalakshmi, Esser, Pascal, et al. · arXiv (Cornell University)
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Characterizing Learning Dynamics under Relative Reparameterization of Singular Models
2022 · Esser, Pascal Mattia, Nielsen, Frank · arXiv (Cornell University)
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Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds
2021 · Esser, Pascal Mattia, Nielsen, Frank · arXiv (Cornell University)
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Works count: 19
Citation count: 19
H-index: 3
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