| 2024 | ICASSP | Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks? | Stefano Damiano, Luca Bondi, Shabnam Ghaffarzadegan, Andre Guntoro, Toon van Waterschoot |
| 2023 | DATE | Real-Time Acoustic Perception for Automotive Applications. | Jun Yin, Stefano Damiano, Marian Verhelst, Toon van Waterschoot, Andre Guntoro |
| 2023 | ICCD | ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators. | Jun Yin, Linyan Mei, Andre Guntoro, Marian Verhelst |
| 2023 | SAFECOMP | Online Quantization Adaptation for Fault-Tolerant Neural Network Inference. | Michael Beyer, Jan Micha Borrmann, Andre Guntoro, Holger Blume |
| 2021 | ASPDAC | Efficient Accuracy Recovery in Approximate Neural Networks by Systematic Error Modelling. | Cecilia De la Parra, Andre Guntoro, Akash Kumar |
| 2021 | ASPDAC | A Novel DRAM-Based Process-in-Memory Architecture and its Implementation for CNNs. | Chirag Sudarshan, Taha Soliman, Cecilia De la Parra, Christian Weis, Leonardo Ecco, Matthias Jung, Norbert Wehn, Andre Guntoro |
| 2021 | DATE | Knowledge Distillation and Gradient Estimation for Active Error Compensation in Approximate Neural Networks. | Cecilia De la Parra, Xuyi Wu, Andre Guntoro, Akash Kumar |
| 2021 | ISCAS | Exploiting Resiliency for Kernel-Wise CNN Approximation Enabled by Adaptive Hardware Design. | Cecilia De la Parra, Ahmed El-Yamany, Taha Soliman, Akash Kumar, Norbert Wehn, Andre Guntoro |
| 2020 | DATE | Next Generation Arithmetic for Edge Computing. | Andre Guntoro, Cecilia De la Parra, Farhad Merchant, Florent de Dinechin, John L. Gustafson, Martin Langhammer, Rainer Leupers, Sangeeth Nambiar |
| 2020 | DATE | ProxSim: GPU-based Simulation Framework for Cross-Layer Approximate DNN Optimization. | Cecilia De la Parra, Andre Guntoro, Akash Kumar |
| 2020 | ISCAS | Full Approximation of Deep Neural Networks through Efficient Optimization. | Cecilia De la Parra, Andre Guntoro, Akash Kumar |
| 2019 | DATE | An Efficient Bit-Flip Resilience Optimization Method for Deep Neural Networks. | Christoph Schorn, Andre Guntoro, Gerd Ascheid |
| 2019 | DATE | Guaranteed Compression Rate for Activations in CNNs using a Frequency Pruning Approach. | Sebastian Vogel, Christoph Schorn, Andre Guntoro, Gerd Ascheid |
| 2019 | DATE | Self-Supervised Quantization of Pre-Trained Neural Networks for Multiplierless Acceleration. | Sebastian Vogel, Jannik Springer, Andre Guntoro, Gerd Ascheid |
| 2019 | DSD | Bit-Shift-Based Accelerator for CNNs with Selectable Accuracy and Throughput. | Sebastian Vogel, Rajatha B. Raghunath, Andre Guntoro, Kristof Van Laerhoven, Gerd Ascheid |
| 2019 | FPGA | Efficient Acceleration of CNNs for Semantic Segmentation on FPGAs. | Sebastian Vogel, Jannik Springer, Andre Guntoro, Gerd Ascheid |
| 2018 | DATE | Accurate neuron resilience prediction for a flexible reliability management in neural network accelerators. | Christoph Schorn, Andre Guntoro, Gerd Ascheid |
| 2018 | ICCAD | Efficient hardware acceleration of CNNs using logarithmic data representation with arbitrary log-base. | Sebastian Vogel, Mengyu Liang, Andre Guntoro, Walter Stechele, Gerd Ascheid |
| 2018 | SAFECOMP | Efficient On-Line Error Detection and Mitigation for Deep Neural Network Accelerators. | Christoph Schorn, Andre Guntoro, Gerd Ascheid |
| 2009 | DATE | A flexible floating-point wavelet transform and wavelet packet processor. | Andre Guntoro, Manfred Glesner |
| 2008 | FPL | A lifting-based DWT and IDWT processor with multi-context configuration and normalization factor. | Andre Guntoro, Manfred Glesner |
| 2008 | FPL | High-performance fpga-based floating-point adder with three inputs. | Andre Guntoro, Manfred Glesner |