Pan Kessel

7 papers · 2019–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (13)

Venues

ICML (4) NeurIPS (2) ICLR (1)

Top co-authors

Klaus-Robert Müller (3) Christopher Anders (2) Jan E Gerken (2) Ann-Kathrin Dombrowski (2) Lorenz Vaitl (2) Shinichi Nakajima (2) Plamen Pasliev (1) Philipp Misof (1) Kim Andrea Nicoli (1) Marcel Ackermann (1)

Research topics

Machine Learning (7) Optimization & Theory (6) Deep Learning (4) Artificial Intelligence (3) Architectures (3) Application Areas (2) Core AI (2) Core Methods (2) Models (2) Learning Paradigms (1)

Keywords

normalizing flow (2) explanation method (2) path-gradient estimator (2) data augmentation (2) feature attribution (1) gradient estimation (1) posterior distribution (1) variance reduction (1) bayesian optimization (1) differential geometry (1) generative model (1) acquisition function (1) physics-informed learning (1) deep ensemble (1) maximum likelihood training (1) continuous normalizing flow (1) numerical experiment (1) input perturbation (1) infinite-width limit (1) group convolution (1)

Papers

Equivariant Neural Tangent Kernels ICML 2025 Emergent Equivariance in Deep Ensembles ICML 2024 Fast and unified path gradient estimators for normalizing flows ICLR 2024 Physics-Informed Bayesian Optimization of Variational Quantum Circuits NeurIPS 2023 Path-Gradient Estimators for Continuous Normalizing Flows ICML 2022 Fairwashing explanations with off-manifold detergent ICML 2020 Explanations can be manipulated and geometry is to blame NeurIPS 2019