• 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 35 matches

• 2024
• 
  Nikolas J. Wilhelm, Claudio E. von Schacky, Felix J. Lindner, Matthias J. Feucht, Yannick Ehmann, Jonas Pogorzelski, Sami Haddadin, Jan Neumann, Florian Hinterwimmer, Rüdiger von Eisenhart-Rothe, Matthias Jung, Maximilian F. Russe, Kaywan Izadpanah, Sebastian Siebenlist, Rainer Burgkart, Marco-Christopher Rupp:
  Multicentric development and validation of a multi-scale and multi-task deep learning model for comprehensive lower extremity alignment analysis. Artif. Intell. Medicine 150: 102843 (2024)
• 
  Simon Waid, Jürgen Maier, Philipp Gaggl, Andreas Gsponer, Patrick Sieberer, Maximilian Babeluk, Thomas Bergauer:
  Detector development for particle physics. Elektrotech. Informationstechnik 141(1): 20-28 (2024)
• 
  Maximilian G. Schuh, Davide Boldini, Stephan A. Sieber:
  Synergizing Chemical Structures and Bioassay Descriptions for Enhanced Molecular Property Prediction in Drug Discovery. J. Chem. Inf. Model. 64(12): 4640-4650 (2024)
• 
  Nikhil Mishra, Maximilian Sieb, Pieter Abbeel, Xi Chen:
  Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs. ICRA 2024: 11202-11208
• 
  Maximilian G. Schuh, Davide Boldini, Stephan A. Sieber:
  TwinBooster: Synergising Large Language Models with Barlow Twins and Gradient Boosting for Enhanced Molecular Property Prediction. CoRR abs/2401.04478 (2024)
• 
  Michal Tkác, Jakub Sieber, Lara Kuhlmann, Matthias Brueggenolte, Alexandru Rinciog, Michael Henke, Artur M. Schweidtmann, Qinghe Gao, Maximilian F. Theisen, Radwa El Shawi:
  MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept. CoRR abs/2401.16291 (2024)
• 
  Nikhil Mishra, Maximilian Sieb, Pieter Abbeel, Xi Chen:
  Closing the Visual Sim-to-Real Gap with Object-Composable NeRFs. CoRR abs/2403.04114 (2024)
• 
  Maximilian G. Schuh, Davide Boldini, Stephan A. Sieber:
  Barlow Twins Deep Neural Network for Advanced 1D Drug-Target Interaction Prediction. CoRR abs/2408.00040 (2024)
• 2023
• 
  Verena Heise, Constance Holman, Hung Lo, Ekaterini Maria Lyras, Mark Christopher Adkins, Maria Raisa Jessica Aquino, Konstantinos I. Bougioukas, Katherine O. Bray, Martyna Gajos, Xuanzong Guo, Corinna Hartling, Rodrigo Huerta-Gutierrez, Miroslava Jindrová, Joanne P. M. Kenney, Adrianna P. Kepinska, Laura Kneller, Elena Lopez-Rodriguez, Felix Mühlensiepen, Angela Richards, Gareth Richards, Maximilian Siebert, James A. Smith, Natalie Smith, Nicolai Stransky, Sirpa Tarvainen, Daniela Sofia Valdes, Kayleigh L. Warrington, Nina-Maria Wilpert, Disa Witkowska, Mirela Zaneva, Jeanette Zanker, Tracey L. Weissgerber:
  Ten simple rules for implementing open and reproducible research practices after attending a training course. PLoS Comput. Biol. 19(1) (2023)
• 
  Nikhil Mishra, Pieter Abbeel, Xi Chen, Maximilian Sieb:
  Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects. IROS 2023: 9536-9542
• 
  Nikhil Mishra, Pieter Abbeel, Xi Chen, Maximilian Sieb:
  Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects. CoRR abs/2308.00091 (2023)
• 2022
• 
  Maximilian Förster, Julia Klier, Mathias Klier, Katharina Schäfer-Siebert, Irina Sigler:
  Leveraging the Power of Peer Groups for Refugee Integration. Bus. Inf. Syst. Eng. 64(4): 441-457 (2022)
• 
  Philipp Maximilian Sieberg, Dieter Schramm:
  Ensuring the Reliability of Virtual Sensors Based on Artificial Intelligence within Vehicle Dynamics Control Systems. Sensors 22(9): 3513 (2022)
• 
  Philipp Maximilian Sieberg, Sebastian Blume, Sebastian Reicherts, Niko Maas, Dieter Schramm:
  Hybrid State Estimation-A Contribution Towards Reliability Enhancement of Artificial Neural Network Estimators. IEEE Trans. Intell. Transp. Syst. 23(7): 6337-6346 (2022)
• 
  Yuxuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen:
  Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction. ECCV (10) 2022: 673-694
• 
  Maximilian Jarofka, Philipp Maximilian Sieberg, Christian Hürten, Tim Benedens, Ricarda Peters, Frédéric Etienne Kracht, Dieter Schramm:
  Template for Preparation of Papers for IEEE Sponsored Conferences & Symposia. ITSC 2022: 1548-1553
• 
  Christian Hürten, Philipp Maximilian Sieberg, Dieter Schramm:
  Generating a Multi-fidelity Simulation Model Estimating the Models' Applicability with Machine Learning Algorithms. SIMULTECH 2022: 131-141
• 
  Yuxuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen:
  Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction. CoRR abs/2210.07424 (2022)
• 2021
• 
  Jona Dirks, Mario Grobler, Roman Rabinovich, Yannik Schnaubelt, Sebastian Siebertz, Maximilian Sonneborn:
  PACE Solver Description: PACA-JAVA. IPEC 2021: 30:1-30:4
• 2020
• 
  Maximilian Schwarz, Tobias Landmann, Natalie Cornish, Karl-Friedrich Wetzel, Stefan Siebert, Jonas Franke:
  A Spatially Transferable Drought Hazard and Drought Risk Modeling Approach Based on Remote Sensing Data. Remote. Sens. 12(2): 237 (2020)
• 
  Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki:
  Embodied Language Grounding With 3D Visual Feature Representations. CVPR 2020: 2217-2226
• 
  Philipp Maximilian Sieberg, Christian Hürten, Dieter Schramm:
  Representation of an Integrated Non-Linear Model-Based Predictive Vehicle Dynamics Control System by a Co-Active Neuro-Fuzzy Inference System. IV 2020: 572-577
• 2019
• 
  Günter Mühlberger, Louise Seaward, Melissa Terras, Sofia Ares Oliveira, Vicente Bosch, Maximilian Bryan, Sebastian Colutto, Hervé Déjean, Markus Diem, Stefan Fiel, Basilis Gatos, Albert Greinoecker, Tobias Grüning, Günter Hackl, Vili Haukkovaara, Gerhard Heyer, Lauri Hirvonen, Tobias Hodel, Matti Jokinen, Philip Kahle, Mario Kallio, Frédéric Kaplan, Florian Kleber, Roger Labahn, Eva Maria Lang, Sören Laube, Gundram Leifert, Georgios Louloudis, Rory McNicholl, Jean-Luc Meunier, Johannes Michael, Elena Mühlbauer, Nathanael Philipp, Ioannis Pratikakis, Joan Puigcerver Pérez, Hannelore Putz, George Retsinas, Verónica Romero, Robert Sablatnig, Joan-Andreu Sánchez, Philip Schofield, Giorgos Sfikas, Christian Sieber, Nikolaos Stamatopoulos, Tobias Strauß, Tamara Terbul, Alejandro H. Toselli, Berthold Ulreich, Mauricio Villegas, Enrique Vidal, Johanna Walcher, Max Weidemann, Herbert Wurster, Konstantinos Zagoris:
  Transforming scholarship in the archives through handwritten text recognition. J. Documentation 75(5): 954-976 (2019)
• 
  Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki:
  Graph-Structured Visual Imitation. CoRL 2019: 979-989
• 
  Sebastian Blume, Philipp Maximilian Sieberg, Niko Maas, Dieter Schramm:
  Neural Roll Angle Estimation in a Model Predictive Control System. ITSC 2019: 1625-1630
• 
  Philipp Maximilian Sieberg, Sebastian Blume, Nele Harnack, Niko Maas, Dieter Schramm:
  Hybrid State Estimation Combining Artificial Neural Network and Physical Model. ITSC 2019: 894-899
• 
  Matthias Bahr, Sebastian Reicherts, Philipp Maximilian Sieberg, Luca Morss, Dieter Schramm:
  Development and Validation of Active Roll Control based on Actor-critic Neural Network Reinforcement Learning. SIMULTECH 2019: 36-46
• 
  Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki:
  Graph-Structured Visual Imitation. CoRR abs/1907.05518 (2019)
• 
  Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki:
  Embodied Language Grounding with Implicit 3D Visual Feature Representations. CoRR abs/1910.01210 (2019)
• 2018
• 
  Maximilian Sieb, Katerina Fragkiadaki:
  Data Dreaming for Object Detection: Learning Object-Centric State Representations for Visual Imitation. Humanoids 2018: 1-9

skipping 5 more matches