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- Sebastian Pape 0001
Continental Automotive Technologies, Germany - Sebastian Pape 0002
Technical University of Dresden, Germany - Sebastian Pape 0003
University of Hildesheim, Germany - Sebastian Pape 0004
RWTH Aachen University, Germany - Sebastian Pape 0005
European Organization for Nuclear Research (CERN), Switzerland
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Publication search results
found 19,393 matches
- 2024
- Konrad K. Dabrowski, Eduard Eiben, Sebastian Ordyniak, Giacomo Paesani, Stefan Szeider:
Learning Small Decision Trees for Data of Low Rank-Width. AAAI 2024: 10476-10483 - Maximilian Dreyer, Frederik Pahde, Christopher J. Anders, Wojciech Samek, Sebastian Lapuschkin:
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space. AAAI 2024: 21046-21054 - Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski:
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). AAAI 2024: 23482-23483 - Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche, Sebastian Trimpe:
Exact Inference for Continuous-Time Gaussian Process Dynamics. AAAI 2024: 11883-11891 - Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe:
Learning Hybrid Dynamics Models with Simulator-Informed Latent States. AAAI 2024: 11892-11900 - Maris F. L. Galesloot, Thiago D. Simão, Sebastian Junges, Nils Jansen:
Factored Online Planning in Many-Agent POMDPs. AAAI 2024: 17407-17415 - Zachary Kenton, Ramana Kumar, Sebastian Farquhar, Jonathan Richens, Matt MacDermott, Tom Everitt:
Discovering Agents (Abstract Reprint). AAAI 2024: 22701 - Aleksander Obuchowski, Barbara Klaudel, Piotr Frackowski, Sebastian Krajna, Wasyl Badyra, Michal Czubenko, Zdzislaw Kowalczuk:
Target-Free Domain Adaptation through Cross-Adaptation (Student Abstract). AAAI 2024: 23602-23603 - Sebastian Ordyniak, Giacomo Paesani, Mateusz Rychlicki, Stefan Szeider:
A General Theoretical Framework for Learning Smallest Interpretable Models. AAAI 2024: 10662-10669 - Giuseppe Spallitta, Roberto Sebastiani, Armin Biere:
Disjoint Partial Enumeration without Blocking Clauses. AAAI 2024: 8126-8135 - Colin Sullivan, Mo Tiwari, Sebastian Thrun:
MAPTree: Beating "Optimal" Decision Trees with Bayesian Decision Trees. AAAI 2024: 9019-9026 - Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger:
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. AAAI 2024: 5921-5929 - Brian Plancher, Sebastian Büttrich, Jeremy Ellis, Neena Goveas, Laila D. Kazimierski, Jesús Alfonso López Sotelo, Milan Lukic, Diego Mendez, Rosdiadee Nordin, Andrés Oliva Trevisan, Massimo Pavan, Manuel Roveri, Marcus Rüb, Jackline Tum, Marian Verhelst, Salah Abdeljabar, Segun Adebayo, Thomas Amberg, Halleluyah Aworinde, José Bagur, Gregg Barrett, Nabil Benamar, Bharat S. Chaudhari, Ronald Criollo, David Cuartielles, José A. Ferreira Filho, Solomon Gizaw, Evgeni Gousev, Alessandro Grande, Shawn Hymel, Peter Ing, Prashant Manandhar, Pietro Manzoni, Boris Murmann, Eric Pan, Rytis Paskauskas, Ermanno Pietrosemoli, Tales C. Pimenta, Marcelo Rovai, Marco Zennaro, Vijay Janapa Reddi:
TinyML4D: Scaling Embedded Machine Learning Education in the Developing World. AAAI Spring Symposia 2024: 508-515 - Irene Hou, Owen Man, Sophia Mettille, Sebastian Gutierrez, Kenneth Angelikas, Stephen MacNeil:
More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems. ACE 2024: 29-38 - Pascal Bemmann, Sebastian Berndt, Rongmao Chen:
Subversion-Resilient Signatures Without Random Oracles. ACNS (1) 2024: 351-375 - Zheng Zhao, Sebastian Mair, Thomas B. Schön, Jens Sjölund:
On Feynman-Kac training of partial Bayesian neural networks. AISTATS 2024: 3223-3231 - Masaki Adachi, Brady Planden, David A. Howey, Michael A. Osborne, Sebastian Orbell, Natalia Ares, Krikamol Muandet, Siu Lun Chau:
Looping in the Human: Collaborative and Explainable Bayesian Optimization. AISTATS 2024: 505-513 - Sebastian Jäger, Felix Biessmann:
From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictive Performance. AISTATS 2024: 3394-3402 - David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause:
Learning Safety Constraints from Demonstrations with Unknown Rewards. AISTATS 2024: 2386-2394 - Teodora Popordanoska, Sebastian Gregor Gruber, Aleksei Tiulpin, Florian Büttner, Matthew B. Blaschko:
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors. AISTATS 2024: 3466-3474 - Stephan Wäldchen, Kartikey Sharma, Berkant Turan, Max Zimmer, Sebastian Pokutta:
Interpretability Guarantees with Merlin-Arthur Classifiers. AISTATS 2024: 1963-1971 - Fabian Ritter, Sebastian Hack:
Explainable Port Mapping Inference with Sparse Performance Counters for AMD's Zen Architectures. ASPLOS (3) 2024: 317-330 - Alexandry Augustin, Elnaz Shafipour, Sebastian Stein:
EVtonomy: A Personalised Route Planner for Electric Vehicles. AAMAS 2024: 2794-2796 - Arti Bandhana, Tomás Kroupa, Sebastian García:
Trust in Shapley: A Cooperative Quest for Global Trust in P2P Network. AAMAS 2024: 132-140 - Zemuy Tesfay Gebrekidan, Sebastian Stein, Timothy J. Norman:
Deep Reinforcement Learning with Coalition Action Selection for Online Combinatorial Resource Allocation with Arbitrary Action Space. AAMAS 2024: 660-668 - Zemuy Tesfay Gebrekidan, Sebastian Stein, Timothy J. Norman:
Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing. AAMAS 2024: 2273-2275 - Jonas Karge, Juliette-Michelle Burkhardt, Sebastian Rudolph, Dominik Rusovac:
To Lead or to be Led: A Generalized Condorcet Jury Theorem under Dependence. AAMAS 2024: 983-991 - Behrad Koohy, Jan Buermann, Vahid Yazdanpanah, Pamela Briggs, Paul Pschierer-Barnfather, Enrico H. Gerding, Sebastian Stein:
Adaptive Incentive Engineering in Citizen-Centric AI. AAMAS 2024: 2684-2689 - Nicos Protopapas, Vahid Yazdanpanah, Enrico H. Gerding, Sebastian Stein:
Online Decentralised Mechanisms for Dynamic Ridesharing. AAMAS 2024: 1602-1610 - Sebastian Rodriguez, John Thangarajah:
Explainable Agents (XAg) by Design. AAMAS 2024: 2712-2716
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