• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 251 matches

• 2024
• 
  Carlotta Hennigs, Franziska Bilda, Jan Graßhoff, Stephan Walterspacher, Philipp Rostalski:
  A switching lung mechanics model for detection of expiratory flow limitation. Autom. 72(5): 417-428 (2024)
• 
  Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä:
  Parallel-in-Time Probabilistic Numerical ODE Solvers. J. Mach. Learn. Res. 25: 206:1-206:27 (2024)
• 
  Nicholas Krämer, Philipp Hennig:
  Stable Implementation of Probabilistic ODE Solvers. J. Mach. Learn. Res. 25: 111:1-111:29 (2024)
• 
  Susanne Zabel, Philipp Hennig, Kay Nieselt:
  VIPurPCA: Visualizing and Propagating Uncertainty in Principal Component Analysis. IEEE Trans. Vis. Comput. Graph. 30(4): 2011-2022 (2024)
• 
  Julia Grosse, Rahel Fischer, Roman Garnett, Philipp Hennig:
  A Greedy Approximation for k-Determinantal Point Processes. AISTATS 2024: 3052-3060
• 
  Carlotta Hennigs, Mirja Noethlich, Franziska Bilda, Philipp Rostalski:
  A mathematical pulmonary model for heart-lung interactions during mechanical ventilation. EMBC 2024: 1-4
• 
  Jonas Beck, Nathanael Bosch, Michael Deistler, Kyra L. Kadhim, Jakob H. Macke, Philipp Hennig, Philipp Berens:
  Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations. ICML 2024
• 
  Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang:
  Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. ICML 2024
• 
  Amon Lahr, Filip Tronarp, Nathanael Bosch, Jonathan Schmidt, Philipp Hennig, Melanie N. Zeilinger:
  Probabilistic ODE solvers for integration error-aware numerical optimal control. L4DC 2024: 1018-1032
• 
  Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang:
  Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. CoRR abs/2402.00809 (2024)
• 
  Jonas Beck, Nathanael Bosch, Michael Deistler, Kyra L. Kadhim, Jakob H. Macke, Philipp Hennig, Philipp Berens:
  Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations. CoRR abs/2402.12231 (2024)
• 
  Marvin Pförtner, Jonathan Wenger, Jon Cockayne, Philipp Hennig:
  Computation-Aware Kalman Filtering and Smoothing. CoRR abs/2405.08971 (2024)
• 
  Martina Contisciani, Marius Hobbhahn, Eleanor A. Power, Philipp Hennig, Caterina De Bacco:
  Flexible inference in heterogeneous and attributed multilayer networks. CoRR abs/2405.20918 (2024)
• 
  Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg:
  Reparameterization invariance in approximate Bayesian inference. CoRR abs/2406.03334 (2024)
• 
  Tim Weiland, Marvin Pförtner, Philipp Hennig:
  Scaling up Probabilistic PDE Simulators with Structured Volumetric Information. CoRR abs/2406.05020 (2024)
• 
  Emilia Magnani, Marvin Pförtner, Tobias Weber, Philipp Hennig:
  Linearization Turns Neural Operators into Function-Valued Gaussian Processes. CoRR abs/2406.05072 (2024)
• 
  Julia Grosse, Ruotian Wu, Ahmad Rashid, Philipp Hennig, Pascal Poupart, Agustinus Kristiadi:
  Uncertainty-Guided Optimization on Large Language Model Search Trees. CoRR abs/2407.03951 (2024)
• 
  Tristan Cinquin, Marvin Pförtner, Vincent Fortuin, Philipp Hennig, Robert Bamler:
  FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning. CoRR abs/2407.13711 (2024)
• 
  Joanna Sliwa, Frank Schneider, Nathanael Bosch, Agustinus Kristiadi, Philipp Hennig:
  Efficient Weight-Space Laplace-Gaussian Filtering and Smoothing for Sequential Deep Learning. CoRR abs/2410.06800 (2024)
• 
  Lukas Tatzel, Bálint Mucsányi, Osane Hackel, Philipp Hennig:
  Debiasing Mini-Batch Quadratics for Applications in Deep Learning. CoRR abs/2410.14325 (2024)
• 
  Jonathan Wenger, Kaiwen Wu, Philipp Hennig, Jacob R. Gardner, Geoff Pleiss, John P. Cunningham:
  Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference. CoRR abs/2411.01036 (2024)
• 
  Jonathan Schmidt, Luca Schmidt, Felix Strnad, Nicole Ludwig, Philipp Hennig:
  Spatiotemporally Coherent Probabilistic Generation of Weather from Climate. CoRR abs/2412.15361 (2024)
• 2023
• 
  Alexander Bigalke, Lasse Hansen, Jasper Diesel, Carlotta Hennigs, Philipp Rostalski, Mattias P. Heinrich:
  Anatomy-guided domain adaptation for 3D in-bed human pose estimation. Medical Image Anal. 89: 102887 (2023)
• 
  Felix Dangel, Lukas Tatzel, Philipp Hennig:
  ViViT: Curvature Access Through The Generalized Gauss-Newton's Low-Rank Structure. Trans. Mach. Learn. Res. 2023 (2023)
• 
  Julia Grosse, Cheng Zhang, Philipp Hennig:
  Optimistic Optimization of Gaussian Process Samples. Trans. Mach. Learn. Res. 2023 (2023)
• 
  Leonhard Hennig, Philippe Thomas, Sebastian Möller:
  MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset. ACL (1) 2023: 3785-3801
• 
  Nathanael Bosch, Philipp Hennig, Filip Tronarp:
  Probabilistic Exponential Integrators. NeurIPS 2023
• 
  Runa Eschenhagen, Alexander Immer, Richard E. Turner, Frank Schneider, Philipp Hennig:
  Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures. NeurIPS 2023
• 
  Agustinus Kristiadi, Felix Dangel, Philipp Hennig:
  The Geometry of Neural Nets' Parameter Spaces Under Reparametrization. NeurIPS 2023
• 
  Jonathan Schmidt, Philipp Hennig, Jörg Nick, Filip Tronarp:
  The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions. NeurIPS 2023

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