Lampert, Christoph

11 publications

NeurIPS 2024 Banded Square Root Matrix Factorization for Differentially Private Model Training Nikita Kalinin, Christoph Lampert

NeurIPS 2024 Neural Collapse vs. Low-Rank Bias: Is Deep Neural Collapse Really Optimal? Peter Súkeník, Christoph Lampert, Marco Mondelli

WACV 2020 A Flexible Selection Scheme for Minimum-Effort Transfer Learning Amelie Royer, Christoph Lampert

WACV 2020 Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios Amelie Royer, Christoph Lampert

ICML 2020 On the Sample Complexity of Adversarial Multi-Source PAC Learning Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph Lampert

ICCVW 2019 Detecting Visual Relationships Using Box Attention Alexander Kolesnikov, Alina Kuznetsova, Christoph Lampert, Vittorio Ferrari

ICML 2019 Robust Learning from Untrusted Sources Nikola Konstantinov, Christoph Lampert

ICML 2019 Towards Understanding Knowledge Distillation Mary Phuong, Christoph Lampert

ICML 2018 Data-Dependent Stability of Stochastic Gradient Descent Ilja Kuzborskij, Christoph Lampert

ICML 2018 Learning Equations for Extrapolation and Control Subham Sahoo, Christoph Lampert, Georg Martius

ICML 2014 A PAC-Bayesian Bound for Lifelong Learning Anastasia Pentina, Christoph Lampert