• 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 24 matches

• 2023
• 
  Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly:
  Leveraging explanations in interactive machine learning: An overview. Frontiers Artif. Intell. 6 (2023)
• 2022
• 
  Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting:
  Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. CVPR 2022: 10307-10318
• 
  Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting:
  Neural-Probabilistic Answer Set Programming. KR 2022
• 
  Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
  A Typology to Explore and Guide Explanatory Interactive Machine Learning. CoRR abs/2203.03668 (2022)
• 
  Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly:
  Leveraging Explanations in Interactive Machine Learning: An Overview. CoRR abs/2207.14526 (2022)
• 
  Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
  Revision Transformers: Getting RiT of No-Nos. CoRR abs/2210.10332 (2022)
• 
  Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher, Dwarak Vittal, Kristian Kersting:
  Boosting Object Representation Learning via Motion and Object Continuity. CoRR abs/2211.09771 (2022)
• 2021
• 
  Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
  Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions. AAAI 2021: 9533-9540
• 
  Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
  Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations. CVPR 2021: 3619-3629
• 
  Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting:
  SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming. CoRR abs/2110.03395 (2021)
• 
  Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting:
  Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. CoRR abs/2112.02290 (2021)
• 2020
• 
  Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Franziska Herbert, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting:
  Making deep neural networks right for the right scientific reasons by interacting with their explanations. Nat. Mach. Intell. 2(8): 476-486 (2020)
• 
  Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting:
  Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. CoRR abs/2001.05371 (2020)
• 
  Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
  Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations. CoRR abs/2011.12854 (2020)
• 2018
• 
  Pompeu Casanovas, Louis de Koker, Markus Stumptner, Wolfgang Mayer, Jeffrey Barnes, Stammers Mira:
  Spent Convictions and the Architecture for Establishing Legal Semantic Workflows. TERECOM@JURIX 2018: 85-96
• 2003
• 
  Ansgar Stammermann, Domenik Helms, Milan Schulte, Arne Schulz, Wolfgang Nebel:
  Binding, Allocation and Floorplanning in Low Power High-Level Synthesis. ICCAD 2003: 544-550
• 
  Ansgar Stammermann, Domenik Helms, Milan Schulte, Arne Schulz, Wolfgang Nebel:
  Interconnect Driven Low Power High-Level Synthesis. PATMOS 2003: 131-140
• 2002
• 
  Domenik Helms, Eike Schmidt, Arne Schulz, Ansgar Stammermann, Wolfgang Nebel:
  An Improved Power Macro-Model for Arithmetic Datapath Components. PATMOS 2002: 16-24
• 2001
• 
  Lars Kruse, Eike Schmidt, Gerd Jochens, Ansgar Stammermann, Arne Schulz, Enrico Macii, Wolfgang Nebel:
  Estimation of lower and upper bounds on the power consumption from scheduled data flow graphs. IEEE Trans. Very Large Scale Integr. Syst. 9(1): 3-14 (2001)
• 
  Ansgar Stammermann, Lars Kruse, Wolfgang Nebel, Alexander Pratsch, Eike Schmidt, Milan Schulte, Arne Schulz:
  System level optimization and design space exploration for low power. ISSS 2001: 142-146
• 2000
• 
  Lars Kruse, Eike Schmidt, Gerd Jochens, Ansgar Stammermann, Wolfgang Nebel:
  Lower Bounds on the Power Consumption in Scheduled Data Flow Graphs with Resource Constraints. DATE 2000: 737
• 
  Lars Kruse, Eike Schmidt, Gerd Jochens, Ansgar Stammermann, Wolfgang Nebel:
  Lower Bound Estimation for Low Power High-Level Synthesis. ISSS 2000: 180-186
• 
  Gerd Jochens, Lars Kruse, Eike Schmidt, Ansgar Stammermann, Wolfgang Nebel:
  Power Macro-Modelling for Firm-Macro. PATMOS 2000: 24-35
• 1999
• 
  Martin Radetzki, Ansgar Stammermann, Wolfram Putzke-Röming, Wolfgang Nebel:
  Data Type Analysis for Hardware Synthesis from Object-Oriented Models. DATE 1999: 491-