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Publication search results
found 55 matches
- 2024
- Christian Horvat, Jean-Pascal Pfister:
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models. ICLR 2024 - Hui-An Shen, Jean-Pascal Pfister, Robert Graczyk:
Optimal Activation Functions via Causal Wyner-Ziv Coding. ISIT (Workshops) 2024: 1-5 - Christian Horvat, Jean-Pascal Pfister:
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models. CoRR abs/2402.03845 (2024) - 2023
- Christian Horvat, Jean-Pascal Pfister:
Density estimation on low-dimensional manifolds: an inflation-deflation approach. J. Mach. Learn. Res. 24: 61:1-61:37 (2023) - Camille Gontier
, Simone Carlo Surace, Igor Delvendahl
, Martin Müller, Jean-Pascal Pfister:
Efficient sampling-based Bayesian Active Learning for synaptic characterization. PLoS Comput. Biol. 19(8) (2023) - Hui-An Shen
, Stefan M. Moser, Jean-Pascal Pfister:
A Generalization of the Equal Coding Theorem. ITW 2023: 329-334 - 2022
- Jannes Jegminat, Maya A. Jastrzebowska, Matthew V. Pachai, Michael H. Herzog
, Jean-Pascal Pfister:
Correction: Bayesian regression explains how human participants handle parameter uncertainty. PLoS Comput. Biol. 18(3) (2022) - Jannes Jegminat
, Simone Carlo Surace
, Jean-Pascal Pfister
:
Learning as filtering: Implications for spike-based plasticity. PLoS Comput. Biol. 18(2) (2022) - Ehsan Abedi
, Simone Carlo Surace, Jean-Pascal Pfister
:
A Unification of Weighted and Unweighted Particle Filters. SIAM J. Control. Optim. 60(2): 597-619 (2022) - Christian Horvat, Jean-Pascal Pfister:
Intrinsic dimensionality estimation using Normalizing Flows. NeurIPS 2022 - Hui-An Shen, Stefan M. Moser, Jean-Pascal Pfister:
Rate-Distortion Problems of the Poisson Process based on a Group-Theoretic Approach. CoRR abs/2202.13684 (2022) - 2021
- Hui-An Shen
, Stefan M. Moser, Jean-Pascal Pfister
:
Rate-Distortion Problems of the Poisson Process: a Group-Theoretic Approach. ITW 2021: 1-6 - Christian Horvat, Jean-Pascal Pfister:
Denoising Normalizing Flow. NeurIPS 2021: 9099-9111 - Christian Horvat, Jean-Pascal Pfister:
Density estimation: an inflation-deflation approach. CoRR abs/2105.12152 (2021) - 2020
- Pascal Pfister:
Processes on Random Graphs and other Random Processes. ETH Zurich, Zürich, Switzerland, 2020 - Simone Carlo Surace
, Anna Kutschireiter
, Jean-Pascal Pfister
:
Asymptotically Exact Unweighted Particle Filter for Manifold-Valued Hidden States and Point Process Observations. IEEE Control. Syst. Lett. 4(2): 480-485 (2020) - Camille Gontier, Jean-Pascal Pfister
:
Identifiability of a Binomial Synapse. Frontiers Comput. Neurosci. 14: 558477 (2020) - Jannes Jegminat
, Maya A. Jastrzebowska
, Matthew V. Pachai
, Michael H. Herzog
, Jean-Pascal Pfister
:
Bayesian regression explains how human participants handle parameter uncertainty. PLoS Comput. Biol. 16(5) (2020) - Simone Carlo Surace
, Jean-Pascal Pfister
, Wulfram Gerstner
, Johanni Brea
:
On the choice of metric in gradient-based theories of brain function. PLoS Comput. Biol. 16(4) (2020) - Matthieu Gilson
, Jean-Pascal Pfister
:
Propagation of Spiking Moments in Linear Hawkes Networks. SIAM J. Appl. Dyn. Syst. 19(2): 828-859 (2020) - Hui-An Shen
, Stefan M. Moser, Jean-Pascal Pfister
:
Sphere Covering for Poisson Processes. ITW 2020: 1-5 - Ehsan Abedi
, Simone Carlo Surace, Jean-Pascal Pfister:
A Unification of Weighted and Unweighted Particle Filters. CoRR abs/2011.13804 (2020) - 2019
- Pascal David Johann, Natalie Jäger, Stefan M. Pfister
, Martin Sill:
RF_Purify: a novel tool for comprehensive analysis of tumor-purity in methylation array data based on random forest regression. BMC Bioinform. 20(1): 428:1-428:9 (2019) - Johanna M. Jansen
, Gianfranco De Pascale, Susan Fong, Mika Lindvall, Heinz E. Moser
, Keith Pfister, Bob Warne, Charles A. Wartchow
:
Biased Complement Diversity Selection for Effective Exploration of Chemical Space in Hit-Finding Campaigns. J. Chem. Inf. Model. 59(5): 1709-1714 (2019) - Simone Carlo Surace, Anna Kutschireiter
, Jean-Pascal Pfister
:
How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and without Importance Weights. SIAM Rev. 61(1): 79-91 (2019) - Simone Carlo Surace
, Jean-Pascal Pfister
:
Online Maximum-Likelihood Estimation of the Parameters of Partially Observed Diffusion Processes. IEEE Trans. Autom. Control. 64(7): 2814-2829 (2019) - Leslie Ann Goldberg, John Lapinskas
, Johannes Lengler
, Florian Meier, Konstantinos Panagiotou, Pascal Pfister:
Asymptotically optimal amplifiers for the Moran process. Theor. Comput. Sci. 758: 73-93 (2019) - Charlotte Knierim
, Johannes Lengler
, Pascal Pfister, Ulysse Schaller, Angelika Steger:
The Maximum Label Propagation Algorithm on Sparse Random Graphs. APPROX-RANDOM 2019: 58:1-58:15 - Bernhard Haeupler, Fabian Kuhn, Anders Martinsson, Kalina Petrova, Pascal Pfister:
Optimal Strategies for Patrolling Fences. ICALP 2019: 144:1-144:13 - 2018
- David Capper, David T. W. Jones
, Martin Sill
, Volker Hovestadt, Daniel Schrimpf, Dominik Sturm, Christian Koelsche, Felix Sahm, Lukas Chavez
, David E. Reuss, Annekathrin Kratz, Annika K. Wefers, Kristin Huang, Kristian W. Pajtler, Leonille Schweizer, Damian Stichel, Adriana Olar, Nils W. Engel, Kerstin Lindenberg, Patrick N. Harter, Anne K. Braczynski, Karl H. Plate, Hildegard Dohmen, Boyan K. Garvalov, Roland Coras, Annett Hölsken, Ekkehard Hewer, Melanie Bewerunge-Hudler, Matthias Schick, Roger Fischer, Rudi Beschorner, Jens Schittenhelm, Ori Staszewski, Khalida Wani, Pascale Varlet, Melanie Pages, Petra Temming, Dietmar Lohmann, Florian Selt, Hendrik Witt, Till Milde, Olaf Witt, Eleonora Aronica, Felice Giangaspero, Elisabeth Rushing, Wolfram Scheurlen, Christoph Geisenberger, Fausto J. Rodriguez, Albert Becker, Matthias Preusser, Christine Haberler, Rolf Bjerkvig, Jane Cryan, Michael Farrell, Martina Deckert, Jürgen Hench, Stephan Frank, Jonathan Serrano, Kasthuri Kannan, Aristotelis Tsirigos
, Wolfgang Brück, Silvia Hofer, Stefanie Brehmer, Marcel Seiz-Rosenhagen, Daniel Hänggi, Volkmar Hans, Stephanie Rozsnoki, Jordan R. Hansford, Patricia Kohlhof, Bjarne W. Kristensen, Matt Lechner, Beatriz Lopes, Christian Mawrin, Ralf Ketter, Andreas Kulozik, Ziad Khatib, Frank Heppner, Arend Koch, Anne Jouvet, Catherine Keohane, Helmut Mühleisen, Wolf Mueller, Ute Pohl, Marco Prinz, Axel Benner, Marc Zapatka
, Nicholas G. Gottardo, Pablo Hernáiz Driever, Christof M. Kramm, Hermann L. Müller, Stefan Rutkowski, Katja von Hoff, Michael C. Frühwald, Astrid Gnekow, Gudrun Fleischhack, Stephan Tippelt, Gabriele Calaminus, Camelia-Maria Monoranu, Arie Perry, Chris Jones, Thomas S. Jacques, Bernhard Radlwimmer, Marco Gessi, Torsten Pietsch, Johannes Schramm, Gabriele Schackert, Manfred Westphal, Guido Reifenberger, Pieter Wesseling, Michael Weller, Vincent Peter Collins, Ingmar Blümcke, Martin Bendszus, Jürgen Debus, Annie Huang, Nada Jabado, Paul A. Northcott, Werner Paulus, Amar Gajjar, Giles W. Robinson, Michael D. Taylor, Zane Jaunmuktane, Marina Ryzhova, Michael Platten, Andreas Unterberg, Wolfgang Wick, Matthias A. Karajannis, Michel Mittelbronn, Till Acker, Christian Hartmann, Kenneth D. Aldape, Ulrich Schüller, Rolf Buslei, Peter Lichter, Marcel Kool, Christel Herold-Mende, David W. Ellison, Martin Hasselblatt, Matija Snuderl, Sebastian Brandner, Andrey Korshunov, Andreas von Deimling
, Stefan M. Pfister:
DNA methylation-based classification of central nervous system tumours. Nat. 555(7697): 469-474 (2018)
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