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Publication search results
found 31 matches
- 2024
- Olaf Beyersdorff, Tim Hoffmann, Luc Nicolas Spachmann:
Proof Complexity of Propositional Model Counting. Electron. Colloquium Comput. Complex. TR24 (2024) - 2023
- Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp:
Fine-Tuning Language Models for Scientific Writing Support. CD-MAKE 2023: 301-318 - Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp:
On the Rule-Based Extraction of Statistics Reported in Scientific Papers. NLDB 2023: 326-338 - Olaf Beyersdorff, Tim Hoffmann, Luc Nicolas Spachmann:
Proof Complexity of Propositional Model Counting. SAT 2023: 2:1-2:18 - Nicolas Schuler, Maximilian Hoffmann, Hans-Peter Beise, Ralph Bergmann:
Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning. SGAI Conf. 2023: 159-173 - Svenja Ehlers, Marco Klein, Alexander Heinlein, Mathies Wedler, Nicolas Desmars, Norbert P. Hoffmann, Merten Stender:
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data. CoRR abs/2305.11913 (2023) - Justin Mücke, Daria Waldow, Luise Metzger, Philipp Schauz, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp:
Fine-Tuning Language Models for Scientific Writing Support. CoRR abs/2306.10974 (2023) - Shruti Mishra, Ankit Anand, Jordan Hoffmann, Nicolas Heess, Martin A. Riedmiller, Abbas Abdolmaleki, Doina Precup:
Policy composition in reinforcement learning via multi-objective policy optimization. CoRR abs/2308.15470 (2023) - 2022
- Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp:
Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers with STEREO. J. Data Intell. 3(2): 252-277 (2022) - Nicolas Hoffmann, Léa Saunier, Samuel Prouten, Oumayma Serroukh, Jean-Charles Le Floch, Marius Preda, Catalin I. Fetita, Titus B. Zaharia:
Industrial Use-Case : Digital Twin for Autonomous Earthwork in Virtual-Reality. Web3D 2022: 20:1-20:4 - Bobak Shahriari, Abbas Abdolmaleki, Arunkumar Byravan, Abe Friesen, Siqi Liu, Jost Tobias Springenberg, Nicolas Heess, Matt Hoffman, Martin A. Riedmiller:
Revisiting Gaussian mixture critics in off-policy reinforcement learning: a sample-based approach. CoRR abs/2204.10256 (2022) - Tobias Kalmbach, Marcel Hoffmann, Nicolas Lell, Ansgar Scherp:
Reducing a Set of Regular Expressions and Analyzing Differences of Domain-specific Statistic Reporting. CoRR abs/2211.13632 (2022) - 2021
- Nicolás García Trillos, Franca Hoffmann, Bamdad Hosseini:
Geometric structure of graph Laplacian embeddings. J. Mach. Learn. Res. 22: 63:1-63:55 (2021) - Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp:
STEREO: A Pipeline for Extracting Experiment Statistics, Conditions, and Topics from Scientific Papers. iiWAS 2021: 340-349 - Steffen Epp, Marcel Hoffmann, Nicolas Lell, Michael Mohr, Ansgar Scherp:
A Machine Learning Pipeline for Automatic Extraction of Statistic Reports and Experimental Conditions from Scientific Papers. CoRR abs/2103.14124 (2021) - 2020
- Çaglar Gülçehre, Ziyu Wang, Alexander Novikov, Thomas Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matthew Hoffman, Nicolas Heess, Nando de Freitas:
RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning. NeurIPS 2020 - Çaglar Gülçehre, Ziyu Wang, Alexander Novikov, Tom Le Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matt Hoffman, Ofir Nachum, George Tucker, Nicolas Heess, Nando de Freitas:
RL Unplugged: Benchmarks for Offline Reinforcement Learning. CoRR abs/2006.13888 (2020) - 2018
- Gabriel Barth-Maron, Matthew W. Hoffman, David Budden, Will Dabney, Dan Horgan, Dhruva TB, Alistair Muldal, Nicolas Heess, Timothy P. Lillicrap:
Distributed Distributional Deterministic Policy Gradients. ICLR (Poster) 2018 - Gabriel Barth-Maron, Matthew W. Hoffman, David Budden, Will Dabney, Dan Horgan, Dhruva TB, Alistair Muldal, Nicolas Heess, Timothy P. Lillicrap:
Distributed Distributional Deterministic Policy Gradients. CoRR abs/1804.08617 (2018) - 2017
- Antonio Filieri, Martina Maggio, Konstantinos Angelopoulos, Nicolás D'Ippolito, Ilias Gerostathopoulos, Andreas Berndt Hempel, Henry Hoffmann, Pooyan Jamshidi, Evangelia Kalyvianaki, Cristian Klein, Filip Krikava, Sasa Misailovic, Alessandro Vittorio Papadopoulos, Suprio Ray, Amir Molzam Sharifloo, Stepan Shevtsov, Mateusz Ujma, Thomas Vogel:
Control Strategies for Self-Adaptive Software Systems. ACM Trans. Auton. Adapt. Syst. 11(4): 24:1-24:31 (2017) - Ana Nicolaescu, Horst Lichter, Veit Hoffmann:
On Adequate Behavior-Based Architecture Conformance Checks. APSEC 2017: 446-455 - 2016
- Pedro Rossa, Nicolas Hoffman, João Ricardo Bittencourt, Fernando Marson, Vinícius J. Cassol:
Living the past: the use of VR to provide a historical experience. SIGGRAPH Posters 2016: 91:1-91:2 - 2015
- Rodolfo Hoffmann, María Cristina Riff, Elizabeth Montero, Nicolás Rojas:
Google challenge: A hyperheuristic for the Machine Reassignment Problem. CEC 2015: 846-853 - Antonio Filieri, Martina Maggio, Konstantinos Angelopoulos, Nicolás D'Ippolito, Ilias Gerostathopoulos, Andreas B. Hempel, Henry Hoffmann, Pooyan Jamshidi, Evangelia Kalyvianaki, Cristian Klein, Filip Krikava, Sasa Misailovic, Alessandro Vittorio Papadopoulos, Suprio Ray, Amir Molzam Sharifloo, Stepan Shevtsov, Mateusz Ujma, Thomas Vogel:
Software Engineering Meets Control Theory. SEAMS@ICSE 2015: 71-82 - 2014
- Nicolas Boulanger-Lewandowski, Gautham J. Mysore, Matthew D. Hoffman:
Exploiting long-term temporal dependencies in NMF using recurrent neural networks with application to source separation. ICASSP 2014: 6969-6973 - 2013
- Joachim von Eichborn, Mathias Dunkel, Björn O. Gohlke, Sarah C. Preissner, Michael F. Hoffmann, Jakob M. J. Bauer, J. Douglas Armstrong, Martin H. Schaefer, Miguel A. Andrade-Navarro, Nicolas Le Novère, Michael D. R. Croning, Seth G. N. Grant, Pim van Nierop, August B. Smit, Robert Preissner:
SynSysNet: integration of experimental data on synaptic protein-protein interactions with drug-target relations. Nucleic Acids Res. 41(Database-Issue): 834-840 (2013) - 2010
- Zhen Jiang, Alexandre Krainik, Olivier David, Caroline Salon, Irène Troprès, Dominique Hoffmann, Nicolas Pannetier, Emmanuel Luc Barbier, Eduardo Ramos Bombìn, Jan Warnking, Caroline Pasteris, Stefan Chabardes, François Berger, Sylvie Grand, Christoph Segebarth, Emmanuel Gay, Jean-François Le Bas:
Impaired fMRI activation in patients with primary brain tumors. NeuroImage 52(2): 538-548 (2010) - Ulrike Spierling, Nicolas Szilas, Steve Hoffmann, Urs Richle:
Workshop: Education in Interactive Digital Storytelling. ICIDS 2010: 289-290 - Ulrike Spierling, Nicolas Szilas, Steve Hoffmann, Urs Richle:
Tutorial: Introduction to Interactive Story Creation. ICIDS 2010: 299-300 - 2008
- Mihai Andrei, Arne-Jørgen Berre, Luis Costa, Philippe Duchesne, Daniel Fitzner, Miha Grcar, Jörg Hoffmann, Eva Klien, Joël Langlois, Andreas Limyr, Patrick Maué, Sven Schade, Nathalie Steinmetz, Francois Tertre, Laurentiu Vasiliu, Raluca Zaharia, Nicolas Zastavni:
SWING: An Integrated Environment for Geospatial Semantic Web Services. ESWC 2008: 767-771
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