Hendrik Borras

12 papers Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 — conf
SLURM-Managed HyperParameter Optimization.
PARMA-DITAM
Anusha Chattopadhyay, Hendrik Borras, Bernhard Klein, Holger Fröning
2025 J jnl
Accelerated Execution of Bayesian Neural Networks using a Single Probabilistic Forward Pass and Code Generation.
CoRR
Bernhard Klein, Falk Selker, Hendrik Borras, Sophie Steger, Franz Pernkopf, Holger Fröning
2025 J jnl
On Hardening DNNs against Noisy Computations.
CoRR
Xiao Wang, Hendrik Borras, Bernhard Klein, Holger Fröning
2025 J jnl
Probabilistic photonic computing for AI.
Nat. Comput. Sci.
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
2025 J jnl
Uncertainty Reasoning with Photonic Bayesian Machines.
CoRR
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
2025 J jnl
Uncertainty-Preserving QBNNs: Multi-Level Quantization of SVI-Based Bayesian Neural Networks for Image Classification.
CoRR
Hendrik Borras, Yong Wu, Bernhard Klein, Holger Fröning
2025 — conf
Variance-Aware Noisy Training: Hardening DNNs Against Unstable Analog Computations.
ECML/PKDD (7)
Xiao Wang, Hendrik Borras, Bernhard Klein, Holger Fröning
2025 J jnl
Variance-Aware Noisy Training: Hardening DNNs against Unstable Analog Computations.
CoRR
Xiao Wang, Hendrik Borras, Bernhard Klein, Holger Fröning
2024 — conf
Walking Noise: On Layer-Specific Robustness of Neural Architectures Against Noisy Computations and Associated Characteristic Learning Dynamics.
ECML/PKDD (4)
Hendrik Borras, Bernhard Klein, Holger Fröning
2022 J jnl
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark.
CoRR
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
2022 J jnl
QONNX: Representing Arbitrary-Precision Quantized Neural Networks.
CoRR
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
2022 J jnl
Walking Noise: Understanding Implications of Noisy Computations on Classification Tasks.
CoRR
Hendrik Borras, Bernhard Klein, Holger Fröning