Daniel Windhager

According to our database, Daniel Windhager authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Linearized Bregman Iterations for Sparse Spiking Neural Networks.

Daniel Windhager, Bernhard Alois Moser, Michael Lunglmayr

CoRR, March, 2026

2025

Lightweight LIF-only SNN accelerator using differential time encoding.

Daniel Windhager, Lothar Ratschbacher, Bernhard Alois Moser, Michael Lunglmayr

CoRR, May, 2025

Spiking Neural Network Accelerator Architecture for Differential-Time Representation using Learned Encoding.

Daniel Windhager, Lothar Ratschbacher, Bernhard Alois Moser, Michael Lunglmayr

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Mineuron: Minimal Neuron Realization For Fast Fpga Snn Inference Using Logic Optimization.

Daniel Windhager, Lothar Ratschbacher, Bernhard Alois Moser, Michael Lunglmayr

Proceedings of the 2025 IEEE International Conference on Image Processing, ICIP 2025, 2025

Soil Analysis with Machine-Learning-Based Processing of Air-Coupled Stepped-Frequency GPR Field Measurements: Preliminary Study.

Chunlei Xu, Michael Pregesbauer, Naga Sravani Chilukuri, Daniel Windhager, Mahsa Yousefi, Pedro Julián, Lothar Ratschbacher

Proceedings of the 33rd European Signal Processing Conference, 2025

2024

Soil analysis with machine-learning-based processing of stepped-frequency GPR field measurements: Preliminary study.

Chunlei Xu, Michael Pregesbauer, Naga Sravani Chilukuri, Daniel Windhager, Mahsa Yousefi, Pedro Julián, Lothar Ratschbacher

CoRR, 2024

Influence of Spike Encoding, Neuron Models and Quantization on SNN Performance.

Daniel Windhager, Bernhard Moser, Michael Lunglmayr

Proceedings of the Computer Aided Systems Theory - EUROCAST 2024 - 19th International Conference, Las Palmas de Gran Canaria, Spain, February 25, 2024

SNN Architecture for Differential Time Encoding Using Decoupled Processing Time.

Daniel Windhager, Bernhard Alois Moser, Michael Lunglmayr

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024