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ORCIDOliver Richter
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2020 – today
- 2023
[c14]Jeremia Geiger, Karolis Martinkus, Oliver Richter, Roger Wattenhofer:
Automating Rigid Origami Design. IJCAI 2023: 5815-5823- 2022
- [b1]Oliver Richter:
Architectural Considerations for Deep Reinforcement Learning. ETH Zurich, Zürich, Switzerland, 2022 - [c13]Sébastien Foucher, Damián Pascual, Oliver Richter, Roger Wattenhofer:
Word2Course: Creating Interactive Courses from as Little as a Keyword. CSEDU (1) 2022: 105-115 - [c12]Damian Pascual, Béni Egressy, Nicolas Affolter, Yiming Cai, Oliver Richter, Roger Wattenhofer:
Improving Brain Decoding Methods and Evaluation. ICASSP 2022: 1476-1480 - [i7]Jeremia Geiger, Karolis Martinkus, Oliver Richter, Roger Wattenhofer:
Automating Rigid Origami Design. CoRR abs/2211.13219 (2022) - 2021
- [c11]Yuang Cheng, Yue Ding, Sébastien Foucher, Damián Pascual, Oliver Richter, Martin Volk, Roger Wattenhofer:
WikiFlash: Generating Flashcards from Wikipedia Articles. ICONIP (4) 2021: 138-149 - [c10]Pankaj Khanchandani, Oliver Richter, Lukas Rusch, Roger Wattenhofer:
Learning Algorithms with Self-Play: A New Approach to the Distributed Directory Problem. ICTAI 2021: 501-505 - [c9]Johannes Ackermann, Oliver Richter, Roger Wattenhofer:
Unsupervised Task Clustering for Multi-task Reinforcement Learning. ECML/PKDD (1) 2021: 222-237 - 2020
- [c8]Gino Brunner, Yang Liu, Damian Pascual, Oliver Richter, Massimiliano Ciaramita, Roger Wattenhofer:
On Identifiability in Transformers. ICLR 2020 - [i6]Oliver Richter, Roger Wattenhofer:
Normalized Attention Without Probability Cage. CoRR abs/2005.09561 (2020)
2010 – 2019
- 2019
- [c7]Gino Brunner, Nawel Naas, Sveinn Palsson, Oliver Richter, Roger Wattenhofer:
Monaural Music Source Separation using a ResNet Latent Separator Network. ICTAI 2019: 1124-1131 - [c6]Timo Bräm, Gino Brunner
, Oliver Richter, Roger Wattenhofer:
Attentive Multi-task Deep Reinforcement Learning. ECML/PKDD (3) 2019: 134-149 - [c5]Gino Brunner, Mazda Moayeri, Oliver Richter, Roger Wattenhofer, Chi Zhang:
Neural Symbolic Music Genre Transfer Insights. PKDD/ECML Workshops (2) 2019: 437-445 - [i5]Oliver Richter, Roger Wattenhofer:
Quantile Regression Deep Reinforcement Learning. CoRR abs/1906.11941 (2019) - [i4]Timo Bräm, Gino Brunner, Oliver Richter, Roger Wattenhofer:
Attentive Multi-Task Deep Reinforcement Learning. CoRR abs/1907.02874 (2019) - [i3]Gino Brunner, Yang Liu, Damián Pascual, Oliver Richter, Roger Wattenhofer:
On the Validity of Self-Attention as Explanation in Transformer Models. CoRR abs/1908.04211 (2019) - 2018
- [c4]Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer:
Teaching a Machine to Read Maps With Deep Reinforcement Learning. AAAI 2018: 2763-2770 - [c3]Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer:
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning. ICTAI 2018: 25-29 - [c2]Oliver Richter, Roger Wattenhofer:
TreeConnect: A Sparse Alternative to Fully Connected Layers. ICTAI 2018: 924-931 - [i2]Gino Brunner, Manuel Fritsche, Oliver Richter, Roger Wattenhofer:
Using State Predictions for Value Regularization in Curiosity Driven Deep Reinforcement Learning. CoRR abs/1810.00361 (2018) - 2017
- [c1]Klaus-Tycho Foerster, Oliver Richter, Jochen Seidel, Roger Wattenhofer:
Local Checkability in Dynamic Networks. ICDCN 2017: 4 - [i1]Gino Brunner, Oliver Richter, Yuyi Wang, Roger Wattenhofer:
Teaching a Machine to Read Maps with Deep Reinforcement Learning. CoRR abs/1711.07479 (2017)
Coauthor Index
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