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1Revealing the learning process in reinforcement learning agents through attention-oriented metrics
C. Beylier, S. Hofmann, and N. Scherf. accepted and presented at SciForDL'24 workshop at NeurIPS 2024, (2024)
6 months ago by @scadsfct
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1Open Problem: Active Representation Learning
N. Milosevic, G. M�ller, J. Huisken, and N. Scherf. accepted presented at ARLET workshop at ICLR 2024, (2024)
6 months ago by @scadsfct
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1Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration
L. Schäpermeier, and P. Kerschke. (2024)
6 months ago by @scadsfct
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1Notation3 as an Existential Rule Language
D. Arndt, and S. Mennicke. Rules and Reasoning - 7th International Joint Conference on Rules and Reasoning, RuleML+RR 2023, Proceedings, Springer, (October 2023)
6 months ago by @scadsfct
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1Fuzzy simplicial sets and their application to geometric data analysis
L. Barth, Fatemeh, Fahimi, P. Joharinad, J. Jost, J. Keck, and T. Mikhail. (2024)
6 months ago by @scadsfct
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1Tailored machine learning models for functional RNA detection in genome-wide screens (Version 1)
C. Klapproth, S. Zöztsche, F. Kühnl, J. Fallmann, P. Stadler, and S. Findeiß. https://doi.org/10.5281/zenodo.8120827, (July 2023)
6 months ago by @scadsfct
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1Including glutamine in a resource allocation model of energy metabolism in cancer and yeast cells
J. Ewald, Z. He, W. Dimitriew, and S. Schuster. npj Systems Biology and Applications, (July 2024)
6 months ago by @scadsfct
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1Tuning the Utility-Privacy Trade-Off in Trajectory Data.
M. Schneider, P. Christen, E. Rahm, J. Schneider, and L. Löffelmann. EDBT, page 839--842. (2023)
6 months ago by @scadsfct
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1Superbubbles as an empirical characteristic of directed networks
F. Gärtner, F. Kühnl, C. Seemann, C. Höner Zu Siederdissen, and P. Stadler. Network Science, 9 (1): 49–58 (September 2020)
6 months ago by @scadsfct
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1Efficient Dependency Analysis for Existential Rules
L. González, A. Ivliev, M. Krötzsch, and S. Mennicke. (2023)
6 months ago by @scadsfct
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2C4CAM: A Compiler for CAM-based In-memory Accelerators
H. Farzaneh, J. de Lima, M. Li, A. Khan, X. Hu, and J. Castrillon. Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3, New York, NY, USA, ACM, (April 2024)
7 months ago by @scadsfct
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2Full-Stack Optimization for CAM-Only DNN Inference
J. de Lima, A. Khan, L. Carro, and J. Castrillon. (2024)
7 months ago by @scadsfct
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2SHERLOCK: Scheduling Efficient and Reliable Bulk Bitwise Operations in NVMs
H. Farzaneh, J. Lima, A. Khelejani, A. Khan, M. Mayahinia, M. Tahoori, and J. Castrillon. Proceedings of the 61th Annual Design Automation Conference (DAC'24), ACM, (June 2024)
7 months ago by @scadsfct
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2The landscape of compute-near-memory and compute-in-memory: A research and commercial overview
A. Khan, J. Lima, H. Farzaneh, and J. Castrillon. (2024)
7 months ago by @scadsfct
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publications (hide)94
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1Revealing the learning process in reinforcement learning agents through attention-oriented metrics

1Open Problem: Active Representation Learning

1Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration

1Notation3 as an Existential Rule Language

1Fuzzy simplicial sets and their application to geometric data analysis

1Tailored machine learning models for functional RNA detection in genome-wide screens (Version 1)

1Including glutamine in a resource allocation model of energy metabolism in cancer and yeast cells

1Tuning the Utility-Privacy Trade-Off in Trajectory Data.

1Superbubbles as an empirical characteristic of directed networks

1Efficient Dependency Analysis for Existential Rules

2C4CAM: A Compiler for CAM-based In-memory Accelerators

2Full-Stack Optimization for CAM-Only DNN Inference

2SHERLOCK: Scheduling Efficient and Reliable Bulk Bitwise Operations in NVMs

2The landscape of compute-near-memory and compute-in-memory: A research and commercial overview

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