Andre Guntoro

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 40

Top Topics

Efficient Optimization

Automated Design

Top Venues

Publications

Stefano Damiano, Luca Bondi, Shabnam Ghaffarzadegan, Andre Guntoro, Toon van Waterschoot
Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks? ICASSP (2024)
Stefano Damiano, Luca Bondi, Shabnam Ghaffarzadegan, Andre Guntoro, Toon van Waterschoot
Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks? CoRR (2024)
Shreya Kshirasagar, Benjamin Cramer, Andre Guntoro, Christian Mayr
Auditory Anomaly Detection using Recurrent Spiking Neural Networks. AICAS (2024)
Michael Beyer, Jan Micha Borrmann, Andre Guntoro, Holger Blume
Online Quantization Adaptation for Fault-Tolerant Neural Network Inference. SAFECOMP (2023)
Nellie Laleni, Taha Soliman, Cecilia De la Parra, Franz Müller, Tobias Kirchner, Andre Guntoro, Thomas Kämpfe, Norbert Wehn, T. Jang
Torwards Variability Immune Scalable FeFET-based Macros for IMC DNN Accelerators. ICECS (2023)
Michael Beyer, Sven Gesper, Andre Guntoro, Guillermo Payá Vayá, Holger Blume
Exploiting Subword Permutations to Maximize CNN Compute Performance and Efficiency. ASAP (2023)
Jun Yin, Linyan Mei, Andre Guntoro, Marian Verhelst
ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators. ICCD (2023)
Jun Yin, Stefano Damiano, Marian Verhelst, Toon van Waterschoot, Andre Guntoro
Real-Time Acoustic Perception for Automotive Applications. DATE (2023)
Taha Soliman, Amro Eldebiky, Cecilia De la Parra, Andre Guntoro, Norbert Wehn
Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators. SOCC (2022)
Cecilia De la Parra, Taha Soliman, Andre Guntoro, Akash Kumar, Norbert Wehn
Increasing Throughput of In-Memory DNN Accelerators by Flexible Layerwise DNN Approximation. IEEE Micro 42 (6) (2022)
Taha Soliman, Nellie Laleni, Tobias Kirchner, Franz Müller, Ashish Shrivastava, Thomas Kämpfe, Andre Guntoro, Norbert Wehn
FELIX: A Ferroelectric FET Based Low Power Mixed-Signal In-Memory Architecture for DNN Acceleration. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Chirag Sudarshan, Taha Soliman, Jan Lappas, Christian Weis, Mohammad Hassani Sadi, Matthias Jung, Andre Guntoro, Norbert Wehn
A Weighted Current Summation Based Mixed Signal DRAM-PIM Architecture for Deep Neural Network Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (2) (2022)
Michael Beyer, Andre Guntoro, Holger Blume
Fault-tolerant Radar Signal Processing using Selective Observation Windows and Peak Detection. EUSIPCO (2022)
Cecilia De la Parra, Andre Guntoro, Akash Kumar
Efficient Accuracy Recovery in Approximate Neural Networks by Systematic Error Modelling. ASP-DAC (2021)
Chirag Sudarshan, Taha Soliman, Cecilia De la Parra, Christian Weis, Leonardo Ecco, Matthias Jung, Norbert Wehn, Andre Guntoro
A Novel DRAM-Based Process-in-Memory Architecture and its Implementation for CNNs. ASP-DAC (2021)
Taha Soliman, Cecilia De la Parra, Andre Guntoro, Norbert Wehn
Adaptable Approximation Based on Bit Decomposition for Deep Neural Network Accelerators. AICAS (2021)
Cecilia De la Parra, Ahmed El-Yamany, Taha Soliman, Akash Kumar, Norbert Wehn, Andre Guntoro
Exploiting Resiliency for Kernel-Wise CNN Approximation Enabled by Adaptive Hardware Design. ISCAS (2021)
Cecilia De la Parra, Xuyi Wu, Andre Guntoro, Akash Kumar
Knowledge Distillation and Gradient Estimation for Active Error Compensation in Approximate Neural Networks. DATE (2021)
Christoph Schorn, Thomas Elsken, Sebastian Vogel, Armin Runge, Andre Guntoro, Gerd Ascheid
Automated design of error-resilient and hardware-efficient deep neural networks. Neural Comput. Appl. 32 (24) (2020)
Cecilia De la Parra, Andre Guntoro, Akash Kumar
Improving approximate neural networks for perception tasks through specialized optimization. Future Gener. Comput. Syst. 113 (2020)
Taha Soliman, Ricardo Olivo, Tobias Kirchner, Maximilian Lederer, Thomas Kämpfe, Andre Guntoro, Norbert Wehn
A Ferroelectric FET Based In-memory Architecture for Multi-Precision Neural Networks. SoCC (2020)
Cecilia De la Parra, Andre Guntoro, Akash Kumar
Full Approximation of Deep Neural Networks through Efficient Optimization. ISCAS (2020)
Andre Guntoro, Cecilia De la Parra, Farhad Merchant, Florent de Dinechin, John L. Gustafson, Martin Langhammer, Rainer Leupers, Sangeeth Nambiar
Next Generation Arithmetic for Edge Computing. DATE (2020)
Taha Soliman, Ricardo Olivo, Tobias Kirchner, Cecilia De la Parra, Maximilian Lederer, Thomas Kämpfe, Andre Guntoro, Norbert Wehn
Efficient FeFET Crossbar Accelerator for Binary Neural Networks. ASAP (2020)
Karim Guirguis, Christoph Schorn, Andre Guntoro, Sherif Abdulatif, Bin Yang
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks. CoRR (2020)
Cecilia De la Parra, Andre Guntoro, Akash Kumar
ProxSim: GPU-based Simulation Framework for Cross-Layer Approximate DNN Optimization. DATE (2020)
Karim Guirguis, Christoph Schorn, Andre Guntoro, Sherif Abdulatif, Bin Yang
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks. EUSIPCO (2020)
Christoph Schorn, Thomas Elsken, Sebastian Vogel, Armin Runge, Andre Guntoro, Gerd Ascheid
Automated design of error-resilient and hardware-efficient deep neural networks. CoRR (2019)
Sebastian Vogel, Jannik Springer, Andre Guntoro, Gerd Ascheid
Efficient Acceleration of CNNs for Semantic Segmentation on FPGAs. FPGA (2019)
Sebastian Vogel, Christoph Schorn, Andre Guntoro, Gerd Ascheid
Guaranteed Compression Rate for Activations in CNNs using a Frequency Pruning Approach. DATE (2019)
Sebastian Vogel, Jannik Springer, Andre Guntoro, Gerd Ascheid
Self-Supervised Quantization of Pre-Trained Neural Networks for Multiplierless Acceleration. DATE (2019)
Christoph Schorn, Andre Guntoro, Gerd Ascheid
An Efficient Bit-Flip Resilience Optimization Method for Deep Neural Networks. DATE (2019)
Sebastian Vogel, Rajatha B. Raghunath, Andre Guntoro, Kristof Van Laerhoven, Gerd Ascheid
Bit-Shift-Based Accelerator for CNNs with Selectable Accuracy and Throughput. DSD (2019)
Michael J. Klaiber, Sebastian Vogel, Axel Acosta, Robert Korn, Leonardo Ecco, Kristine Back, Andre Guntoro, Ingo Feldner
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. INTESA (2019)
Michael J. Klaiber, Sebastian Vogel, Axel Acosta, Robert Korn, Leonardo Ecco, Kristine Back, Andre Guntoro, Ingo Feldner
An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. CoRR (2019)
Christoph Schorn, Andre Guntoro, Gerd Ascheid
Efficient On-Line Error Detection and Mitigation for Deep Neural Network Accelerators. SAFECOMP (2018)
Christoph Schorn, Andre Guntoro, Gerd Ascheid
Accurate neuron resilience prediction for a flexible reliability management in neural network accelerators. DATE (2018)
Sebastian Vogel, Mengyu Liang, Andre Guntoro, Walter Stechele, Gerd Ascheid
Efficient hardware acceleration of CNNs using logarithmic data representation with arbitrary log-base. ICCAD (2018)
Sebastian Vogel, Andre Guntoro, Gerd Ascheid
Efficient hardware acceleration for approximate inference of bitwise deep neural networks. DASIP (2017)
Sebastian Vogel, Christoph Schorn, Andre Guntoro, Gerd Ascheid
Efficient Stochastic Inference of Bitwise Deep Neural Networks. CoRR (2016)
Andre Guntoro, Manfred Glesner
A flexible floating-point wavelet transform and wavelet packet processor. DATE (2009)
Andre Guntoro, Manfred Glesner
Novel approach on lifting-based DWT and IDWT processor with multi-context configuration to support different wavelet filters. ASAP (2008)
Andre Guntoro, Manfred Glesner
A Flexible Floating-Point Wavelet Processor. SITIS (2008)
Massoud Momeni, Andre Guntoro, Hans-Peter Keil, Manfred Glesner
Impact of circuit nonidealities on the implementation of switched-capacitor resonators. APCCAS (2008)
Andre Guntoro, Massoud Momeni, Hans-Peter Keil, Manfred Glesner
High-performance floating-point VLSI architecture of lifting-based forward and inverse wavelet transforms. APCCAS (2008)
Hans-Peter Keil, Massoud Momeni, Andre Guntoro, Alberto García Ortiz, Manfred Glesner
A novel leakage-estimation method for input-vector control. APCCAS (2008)
Andre Guntoro, Manfred Glesner
High-performance fpga-based floating-point adder with three inputs. FPL (2008)
Andre Guntoro, Hans-Peter Keil, Manfred Glesner
High-Speed Configurable VLSI Architecture of a General Purpose Lifting-Based Discrete Wavelet Processor. ICETE (Selected Papers) (2008)
Andre Guntoro, Manfred Glesner
A Lifting-Based Discrete Wavelet Transform and Discrete Wavelet Packet Processor with Support for Higher Order Wavelet Filters. VLSI-SoC (Selected Papers) (2008)
Andre Guntoro, Hans-Peter Keil, Manfred Glesner
Configurable VLSI Architecture of a General Purpose Lifting-based Wavelet Processor. SIGMAP (2008)
Andre Guntoro, Manfred Glesner
Low-latency VLSI architecture of a 3-input floating-point adder. APCCAS (2008)
Andre Guntoro, Manfred Glesner
A lifting-based DWT and IDWT processor with multi-context configuration and normalization factor. FPL (2008)
Tudor Murgan, Andre Guntoro, Heiko Hinkelmann, Petru Bogdan Bacinschi, Manfred Glesner
Low-Complexity Adaptive Encoding Schemes Based on Partial Bus-Invert for Power Reduction in Buses Exhibiting Capacitive Coupling. ReCoSoC (2007)
Andre Guntoro, Peter Zipf, Oliver Soffke, Harald Klingbeil, Martin Kumm, Manfred Glesner
Implementation of Realtime and Highspeed Phase Detector on FPGA. ARC (2006)
Tudor Murgan, Abdulfattah Mohammad Obeid, Andre Guntoro, Peter Zipf, Manfred Glesner, Ulrich Heinkel
Design and Implementation of a Multi-Core Architecture for Overhead Processing in Optical Transport Networks. ReCoSoC (2005)