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ORCIDHendrik Borras
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2020 – today
- 2025
[j1]Frank Brückerhoff-Plückelmann
, Anna P. Ovvyan, Akhil Varri, Hendrik Borras, Bernhard Klein, Lennart Meyer, C. David Wright, Harish Bhaskaran, Syed Ghazi Sarwat, Abu Sebastian, Holger Fröning, Wolfram H. P. Pernice:
Probabilistic photonic computing for AI. Nat. Comput. Sci. 5(5): 377-387 (2025)- [c2]Xiao Wang, Hendrik Borras, Bernhard Klein, Holger Fröning:
Variance-Aware Noisy Training: Hardening DNNs Against Unstable Analog Computations. ECML/PKDD (7) 2025: 147-163 - [i8]Xiao Wang, Hendrik Borras, Bernhard Klein, Holger Fröning:
On Hardening DNNs against Noisy Computations. CoRR abs/2501.14531 (2025) - [i7]Xiao Wang, Hendrik Borras, Bernhard Klein, Holger Fröning:
Variance-Aware Noisy Training: Hardening DNNs against Unstable Analog Computations. CoRR abs/2503.16183 (2025) - [i6]Bernhard Klein, Falk Selker, Hendrik Borras, Sophie Steger, Franz Pernkopf, Holger Fröning:
Accelerated Execution of Bayesian Neural Networks using a Single Probabilistic Forward Pass and Code Generation. CoRR abs/2511.23440 (2025) - [i5]Frank Brückerhoff-Plückelmann, Hendrik Borras, S. U. Hulyal, Lennart Meyer, X. Ji, J. Hu, J. Sun, Bernhard Klein, F. Ebert, Jelle Dijkstra, L. McRae, P. Schmidt, Tobias Kippenberg, Holger Fröning, Wolfram H. P. Pernice:
Uncertainty Reasoning with Photonic Bayesian Machines. CoRR abs/2512.02217 (2025) - [i4]Hendrik Borras, Yong Wu, Bernhard Klein, Holger Fröning:
Uncertainty-Preserving QBNNs: Multi-Level Quantization of SVI-Based Bayesian Neural Networks for Image Classification. CoRR abs/2512.10602 (2025) - 2024
- [c1]Hendrik Borras, Bernhard Klein, Holger Fröning:
Walking Noise: On Layer-Specific Robustness of Neural Architectures Against Noisy Computations and Associated Characteristic Learning Dynamics. ECML/PKDD (4) 2024: 38-55 - 2022
- [i3]Alessandro Pappalardo, Yaman Umuroglu, Michaela Blott, Jovan Mitrevski, Benjamin Hawks, Nhan Tran, Vladimir Loncar, Sioni Summers, Hendrik Borras, Jules Muhizi, Matthew Trahms, Shih-Chieh Hsu, Scott Hauck, Javier M. Duarte:
QONNX: Representing Arbitrary-Precision Quantized Neural Networks. CoRR abs/2206.07527 (2022) - [i2]Hendrik Borras, Giuseppe Di Guglielmo, Javier M. Duarte, Nicolò Ghielmetti, Benjamin Hawks, Scott Hauck, Shih-Chieh Hsu, Ryan Kastner, Jason Liang, Andres Meza, Jules Muhizi, Tai Nguyen, Rushil Roy, Nhan Tran, Yaman Umuroglu, Olivia Weng, Aidan Yokuda, Michaela Blott:
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark. CoRR abs/2206.11791 (2022) - [i1]Hendrik Borras, Bernhard Klein, Holger Fröning:
Walking Noise: Understanding Implications of Noisy Computations on Classification Tasks. CoRR abs/2212.10430 (2022)
Coauthor Index
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