Safety- and Efficiency- aligned Learning Technical Report A Realistic Threat Model for Large Language Model Jailbreaks Boreiko, V., Panfilov, A., Hein, M., Geiping, J. October 2024 (Submitted) URL BibTeX

Empirical Inference Article How the result of graph clustering methods depends on the construction of the graph Maier, M., von Luxburg, U., Hein, M. ESAIM: Probability & Statistics, 17:370-418, January 2013 (Published) PDF DOI BibTeX

Empirical Inference Article Nonparametric Regression between General Riemannian Manifolds Steinke, F., Hein, M., Schölkopf, B. SIAM Journal on Imaging Sciences, 3(3):527-563, September 2010 Web DOI BibTeX

Empirical Inference Conference Paper Getting lost in space: Large sample analysis of the resistance distance von Luxburg, U., Radl, A., Hein, M. In Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, Advances in Neural Information Processing Systems 23, 2622-2630, (Editors: Lafferty, J. , C. K.I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta), Curran, Red Hook, NY, USA, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), 2010 PDF Web BibTeX

Empirical Inference Conference Paper Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction Kim, K., Steinke, F., Hein, M. In Advances in Neural Information Processing Systems 22 (NIPS), 979-987, (Editors: Y. Bengio and D. Schuurmans and J. Lafferty and C. Williams and A. Culotta), Curran Associates, Inc., 23rd Annual Conference on Neural Information Processing Systems, December 2009 (Published) URL BibTeX

Empirical Inference Conference Paper Influence of graph construction on graph-based clustering measures Maier, M., von Luxburg, U., Hein, M. In Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Advances in neural information processing systems 21, 1025-1032, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), June 2009 PDF Web BibTeX

Empirical Inference Conference Paper Non-parametric Regression between Riemannian Manifolds Steinke, F., Hein, M. In Advances in neural information processing systems 21 : 22nd Annual Conference on Neural Information Processing Systems 2008, Advances in neural information processing systems 21, 1561-1568, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), June 2009 PDF Web BibTeX

Empirical Inference Article Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters Maier, M., Hein, M., von Luxburg, U. Theoretical Computer Science, 410(19):1749-1764, April 2009 PDF PDF DOI BibTeX

Empirical Inference Talk Thin-Plate Splines Between Riemannian Manifolds Steinke, F., Hein, M., Schölkopf, B. Workshop on Geometry and Statistics of Shapes, June 2008 Web BibTeX

Empirical Inference Article Manifold-valued Thin-plate Splines with Applications in Computer Graphics Steinke, F., Hein, M., Peters, J., Schölkopf, B. Computer Graphics Forum, 27(2):437-448, April 2008 PDF AVI Web DOI BibTeX