Car recognition using Gabor filter feature extraction. - Thiang; Resmana Lim; Andre Teguh Guntoro (APCCAS (2), 2002)

Design and Implementation of a Multi-Core Architecture for Overhead Processing in Optical Transport Networks. - Tudor Murgan; Abdulfattah Mohammad Obeid; Andre Guntoro; Peter Zipf; Manfred Glesner; Ulrich Heinkel (ReCoSoC, 2005)

Implementation of Realtime and Highspeed Phase Detector on FPGA. - Andre Guntoro; Peter Zipf; Oliver Soffke; Harald Klingbeil; Martin Kumm; Manfred Glesner (ARC, 2006)

Low-Complexity Adaptive Encoding Schemes Based on Partial Bus-Invert for Power Reduction in Buses Exhibiting Capacitive Coupling. - Tudor Murgan; Andre Guntoro; Heiko Hinkelmann; Petru Bogdan Bacinschi; Manfred Glesner (ReCoSoC, 2007)

Low-latency VLSI architecture of a 3-input floating-point adder. - Andre Guntoro; Manfred Glesner (APCCAS, 2008)

High-performance floating-point VLSI architecture of lifting-based forward and inverse wavelet transforms. - Andre Guntoro; Massoud Momeni; Hans-Peter Keil; Manfred Glesner (APCCAS, 2008)

A novel leakage-estimation method for input-vector control. - Hans-Peter Keil; Massoud Momeni; Andre Guntoro; Alberto García Ortiz; Manfred Glesner (APCCAS, 2008)

Impact of circuit nonidealities on the implementation of switched-capacitor resonators. - Massoud Momeni; Andre Guntoro; Hans-Peter Keil; Manfred Glesner (APCCAS, 2008)

Novel approach on lifting-based DWT and IDWT processor with multi-context configuration to support different wavelet filters. - Andre Guntoro; Manfred Glesner (ASAP, 2008)

A lifting-based DWT and IDWT processor with multi-context configuration and normalization factor. - Andre Guntoro; Manfred Glesner (FPL, 2008)

High-performance fpga-based floating-point adder with three inputs. - Andre Guntoro; Manfred Glesner (FPL, 2008)

High-Speed Configurable VLSI Architecture of a General Purpose Lifting-Based Discrete Wavelet Processor. - Andre Guntoro; Hans-Peter Keil; Manfred Glesner (ICETE (Selected Papers), 2008)

Configurable VLSI Architecture of a General Purpose Lifting-based Wavelet Processor. - Andre Guntoro; Hans-Peter Keil; Manfred Glesner (SIGMAP, 2008)

A Flexible Floating-Point Wavelet Processor. - Andre Guntoro; Manfred Glesner (SITIS, 2008)

A Lifting-Based Discrete Wavelet Transform and Discrete Wavelet Packet Processor with Support for Higher Order Wavelet Filters. - Andre Guntoro; Manfred Glesner (VLSI-SoC (Selected Papers), 2008)

A flexible floating-point wavelet transform and wavelet packet processor. - Andre Guntoro; Manfred Glesner (DATE, 2009)

Algorithm, Application Mapping, Design and Realization of the Time-Frequency Representation with Flexible Kernels based on their Lifting Scheme - Andre Guntoro (2009)

Efficient Stochastic Inference of Bitwise Deep Neural Networks. - Sebastian Vogel; Christoph Schorn; Andre Guntoro; Gerd Ascheid (CoRR, 2016)

Efficient hardware acceleration for approximate inference of bitwise deep neural networks. - Sebastian Vogel; Andre Guntoro; Gerd Ascheid (DASIP, 2017)

Accurate neuron resilience prediction for a flexible reliability management in neural network accelerators. - Christoph Schorn; Andre Guntoro; Gerd Ascheid (DATE, 2018)

Efficient hardware acceleration of CNNs using logarithmic data representation with arbitrary log-base. - Sebastian Vogel; Mengyu Liang; Andre Guntoro; Walter Stechele; Gerd Ascheid (ICCAD, 2018)

Efficient On-Line Error Detection and Mitigation for Deep Neural Network Accelerators. - Christoph Schorn; Andre Guntoro; Gerd Ascheid (SAFECOMP, 2018)

An Efficient Bit-Flip Resilience Optimization Method for Deep Neural Networks. - Christoph Schorn; Andre Guntoro; Gerd Ascheid (DATE, 2019)

Guaranteed Compression Rate for Activations in CNNs using a Frequency Pruning Approach. - Sebastian Vogel; Christoph Schorn; Andre Guntoro; Gerd Ascheid (DATE, 2019)

Self-Supervised Quantization of Pre-Trained Neural Networks for Multiplierless Acceleration. - Sebastian Vogel; Jannik Springer; Andre Guntoro; Gerd Ascheid (DATE, 2019)

Bit-Shift-Based Accelerator for CNNs with Selectable Accuracy and Throughput. - Sebastian Vogel; Rajatha B. Raghunath; Andre Guntoro; Kristof Van Laerhoven; Gerd Ascheid (DSD, 2019)

Efficient Acceleration of CNNs for Semantic Segmentation on FPGAs. - Sebastian Vogel; Jannik Springer; Andre Guntoro; Gerd Ascheid (FPGA, 2019)

An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. - Michael J. Klaiber; Sebastian Vogel; Axel Acosta 001; Robert Korn; Leonardo Ecco; Kristine Back; Andre Guntoro; Ingo Feldner (INTESA, 2019)

Efficient FeFET Crossbar Accelerator for Binary Neural Networks. - Taha Soliman; Ricardo Olivo; Tobias Kirchner; Cecilia De la Parra; Maximilian Lederer; Thomas Kämpfe; Andre Guntoro; Norbert Wehn (ASAP, 2020)

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 (DATE, 2020)

ProxSim: GPU-based Simulation Framework for Cross-Layer Approximate DNN Optimization. - Cecilia De la Parra; Andre Guntoro; Akash Kumar 001 (DATE, 2020)

SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks. - Karim Guirguis; Christoph Schorn; Andre Guntoro; Sherif Abdulatif; Bin Yang 009 (EUSIPCO, 2020)

Full Approximation of Deep Neural Networks through Efficient Optimization. - Cecilia De la Parra; Andre Guntoro; Akash Kumar 001 (ISCAS, 2020)

A Ferroelectric FET Based In-memory Architecture for Multi-Precision Neural Networks. - Taha Soliman; Ricardo Olivo; Tobias Kirchner; Maximilian Lederer; Thomas Kämpfe; Andre Guntoro; Norbert Wehn (SoCC, 2020)

Improving approximate neural networks for perception tasks through specialized optimization. - Cecilia De la Parra; Andre Guntoro; Akash Kumar 001 (Future Gener. Comput. Syst., 2020)

Automated design of error-resilient and hardware-efficient deep neural networks. - Christoph Schorn; Thomas Elsken; Sebastian Vogel; Armin Runge; Andre Guntoro; Gerd Ascheid (Neural Comput. Appl., 2020)

Adaptable Approximation Based on Bit Decomposition for Deep Neural Network Accelerators. - Taha Soliman; Cecilia De la Parra; Andre Guntoro; Norbert Wehn (AICAS, 2021)

Efficient Accuracy Recovery in Approximate Neural Networks by Systematic Error Modelling. - Cecilia De la Parra; Andre Guntoro; Akash Kumar 001 (ASP-DAC, 2021)

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 001; Norbert Wehn; Andre Guntoro (ASP-DAC, 2021)

Knowledge Distillation and Gradient Estimation for Active Error Compensation in Approximate Neural Networks. - Cecilia De la Parra; Xuyi Wu; Andre Guntoro; Akash Kumar 001 (DATE, 2021)

Exploiting Resiliency for Kernel-Wise CNN Approximation Enabled by Adaptive Hardware Design. - Cecilia De la Parra; Ahmed El-Yamany; Taha Soliman; Akash Kumar 001; Norbert Wehn; Andre Guntoro (ISCAS, 2021)

Fault-tolerant Radar Signal Processing using Selective Observation Windows and Peak Detection. - Michael Beyer; Andre Guntoro; Holger Blume (EUSIPCO, 2022)

Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators. - Taha Soliman; Amro Eldebiky; Cecilia De la Parra; Andre Guntoro; Norbert Wehn (SOCC, 2022)

A Weighted Current Summation Based Mixed Signal DRAM-PIM Architecture for Deep Neural Network Inference. - Chirag Sudarshan; Taha Soliman; Jan Lappas; Christian Weis; Mohammad Hassani Sadi; Matthias Jung 001; Andre Guntoro; Norbert Wehn (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

Increasing Throughput of In-Memory DNN Accelerators by Flexible Layerwise DNN Approximation. - Cecilia De la Parra; Taha Soliman; Andre Guntoro; Akash Kumar 001; Norbert Wehn (IEEE Micro, 2022)

FELIX: A Ferroelectric FET Based Low Power Mixed-Signal In-Memory Architecture for DNN Acceleration. - Taha Soliman; Nellie Laleni; Tobias Kirchner; Franz Müller 001; Ashish Shrivastava; Thomas Kämpfe; Andre Guntoro; Norbert Wehn (ACM Trans. Embed. Comput. Syst., 2022)

Exploiting Subword Permutations to Maximize CNN Compute Performance and Efficiency. - Michael Beyer; Sven Gesper; Andre Guntoro; Guillermo Payá-Vayá; Holger Blume (ASAP, 2023)

Real-Time Acoustic Perception for Automotive Applications. - Jun Yin; Stefano Damiano; Marian Verhelst; Toon van Waterschoot; Andre Guntoro (DATE, 2023)

ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators. - Jun Yin; Linyan Mei; Andre Guntoro; Marian Verhelst (ICCD, 2023)

Torwards Variability Immune Scalable FeFET-based Macros for IMC DNN Accelerators. - Nellie Laleni; Taha Soliman; Cecilia De la Parra; Franz Müller 001; Tobias Kirchner; Andre Guntoro; Thomas Kämpfe; Norbert Wehn; T. Jang (ICECS, 2023)

Online Quantization Adaptation for Fault-Tolerant Neural Network Inference. - Michael Beyer; Jan Micha Borrmann; Andre Guntoro; Holger Blume (SAFECOMP, 2023)

Auditory Anomaly Detection using Recurrent Spiking Neural Networks. - Shreya Kshirasagar; Benjamin Cramer; Andre Guntoro; Christian Mayr 001 (AICAS, 2024)

Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks? - Stefano Damiano; Luca Bondi; Shabnam Ghaffarzadegan; Andre Guntoro; Toon van Waterschoot (ICASSP, 2024)

A framework for the acoustic simulation of passing vehicles using variable length delay lines. - Stefano Damiano; Luca Bondi; Andre Guntoro; Toon van Waterschoot (EURASIP J. Audio Speech Music. Process., 2024)