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ORCIDAndre Guntoro
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2020 – today
- 2024
[j6]Stefano Damiano
, Luca Bondi, Andre Guntoro, Toon van Waterschoot:
A framework for the acoustic simulation of passing vehicles using variable length delay lines. EURASIP J. Audio Speech Music. Process. 2024(1): 49 (2024)- [c46]Shreya Kshirasagar, Benjamin Cramer, Andre Guntoro, Christian Mayr:
Auditory Anomaly Detection using Recurrent Spiking Neural Networks. AICAS 2024: 278-281 - [c45]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: 631-635 - [i5]Stefano Damiano, Luca Bondi, Shabnam Ghaffarzadegan, Andre Guntoro, Toon van Waterschoot:
Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks? CoRR abs/2401.09308 (2024) - 2023
- [c44]Michael Beyer, Sven Gesper, Andre Guntoro, Guillermo Payá-Vayá, Holger Blume:
Exploiting Subword Permutations to Maximize CNN Compute Performance and Efficiency. ASAP 2023: 61-68 - [c43]Jun Yin, Stefano Damiano, Marian Verhelst, Toon van Waterschoot, Andre Guntoro:
Real-Time Acoustic Perception for Automotive Applications. DATE 2023: 1-6 - [c42]Jun Yin, Linyan Mei, Andre Guntoro, Marian Verhelst:
ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators. ICCD 2023: 391-398 - [c41]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: 1-4 - [c40]Michael Beyer, Jan Micha Borrmann, Andre Guntoro, Holger Blume:
Online Quantization Adaptation for Fault-Tolerant Neural Network Inference. SAFECOMP 2023: 243-256 - 2022
- [j5]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): 367-380 (2022) - [j4]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): 17-24 (2022) - [j3]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): 84:1-84:25 (2022) - [c39]Michael Beyer, Andre Guntoro, Holger Blume:
Fault-tolerant Radar Signal Processing using Selective Observation Windows and Peak Detection. EUSIPCO 2022: 1876-1880 - [c38]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: 1-6 - 2021
- [c37]Taha Soliman, Cecilia De la Parra, Andre Guntoro, Norbert Wehn:
Adaptable Approximation Based on Bit Decomposition for Deep Neural Network Accelerators. AICAS 2021: 1-4 - [c36]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: 35-42 - [c35]Cecilia De la Parra, Andre Guntoro, Akash Kumar:
Efficient Accuracy Recovery in Approximate Neural Networks by Systematic Error Modelling. ASP-DAC 2021: 365-371 - [c34]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: 679-684 - [c33]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: 1-5 - 2020
- [j2]Cecilia De la Parra, Andre Guntoro, Akash Kumar:
Improving approximate neural networks for perception tasks through specialized optimization. Future Gener. Comput. Syst. 113: 597-606 (2020) - [j1]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): 18327-18345 (2020) - [c32]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: 109-112 - [c31]Cecilia De la Parra, Andre Guntoro, Akash Kumar:
ProxSim: GPU-based Simulation Framework for Cross-Layer Approximate DNN Optimization. DATE 2020: 1193-1198 - [c30]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: 1357-1365 - [c29]Karim Guirguis, Christoph Schorn, Andre Guntoro, Sherif Abdulatif, Bin Yang:
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks. EUSIPCO 2020: 16-20 - [c28]Cecilia De la Parra, Andre Guntoro, Akash Kumar:
Full Approximation of Deep Neural Networks through Efficient Optimization. ISCAS 2020: 1-5 - [c27]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: 96-101 - [i4]Karim Guirguis, Christoph Schorn, Andre Guntoro, Sherif Abdulatif, Bin Yang:
SELD-TCN: Sound Event Localization & Detection via Temporal Convolutional Networks. CoRR abs/2003.01609 (2020)
2010 – 2019
- 2019
- [c26]Sebastian Vogel, Christoph Schorn, Andre Guntoro, Gerd Ascheid:
Guaranteed Compression Rate for Activations in CNNs using a Frequency Pruning Approach. DATE 2019: 296-299 - [c25]Sebastian Vogel, Jannik Springer, Andre Guntoro, Gerd Ascheid:
Self-Supervised Quantization of Pre-Trained Neural Networks for Multiplierless Acceleration. DATE 2019: 1094-1099 - [c24]Christoph Schorn, Andre Guntoro, Gerd Ascheid:
An Efficient Bit-Flip Resilience Optimization Method for Deep Neural Networks. DATE 2019: 1507-1512 - [c23]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: 663-667 - [c22]Sebastian Vogel, Jannik Springer, Andre Guntoro, Gerd Ascheid:
Efficient Acceleration of CNNs for Semantic Segmentation on FPGAs. FPGA 2019: 309 - [c21]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: 18-22 - [i3]Christoph Schorn, Thomas Elsken, Sebastian Vogel, Armin Runge, Andre Guntoro, Gerd Ascheid:
Automated design of error-resilient and hardware-efficient deep neural networks. CoRR abs/1909.13844 (2019) - [i2]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 abs/1910.11632 (2019) - 2018
- [c20]Christoph Schorn, Andre Guntoro, Gerd Ascheid:
Accurate neuron resilience prediction for a flexible reliability management in neural network accelerators. DATE 2018: 979-984 - [c19]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: 9 - [c18]Christoph Schorn, Andre Guntoro, Gerd Ascheid:
Efficient On-Line Error Detection and Mitigation for Deep Neural Network Accelerators. SAFECOMP 2018: 205-219 - 2017
- [c17]Sebastian Vogel, Andre Guntoro, Gerd Ascheid:
Efficient hardware acceleration for approximate inference of bitwise deep neural networks. DASIP 2017: 1-6 - 2016
- [i1]Sebastian Vogel, Christoph Schorn, Andre Guntoro, Gerd Ascheid:
Efficient Stochastic Inference of Bitwise Deep Neural Networks. CoRR abs/1611.06539 (2016)
2000 – 2009
- 2009
- [b1]Andre Guntoro:
Algorithm, Application Mapping, Design and Realization of the Time-Frequency Representation with Flexible Kernels based on their Lifting Scheme. TU Darmstadt, Germany, 2009 - [c16]Andre Guntoro, Manfred Glesner:
A flexible floating-point wavelet transform and wavelet packet processor. DATE 2009: 1314-1319 - 2008
- [c15]Andre Guntoro, Manfred Glesner:
Low-latency VLSI architecture of a 3-input floating-point adder. APCCAS 2008: 180-183 - [c14]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: 457-460 - [c13]Hans-Peter Keil, Massoud Momeni, Andre Guntoro, Alberto García Ortiz, Manfred Glesner:
A novel leakage-estimation method for input-vector control. APCCAS 2008: 570-573 - [c12]Massoud Momeni, Andre Guntoro, Hans-Peter Keil, Manfred Glesner:
Impact of circuit nonidealities on the implementation of switched-capacitor resonators. APCCAS 2008: 1624-1627 - [c11]Andre Guntoro, Manfred Glesner:
Novel approach on lifting-based DWT and IDWT processor with multi-context configuration to support different wavelet filters. ASAP 2008: 299-304 - [c10]Andre Guntoro, Manfred Glesner:
A lifting-based DWT and IDWT processor with multi-context configuration and normalization factor. FPL 2008: 479-482 - [c9]Andre Guntoro, Manfred Glesner:
High-performance fpga-based floating-point adder with three inputs. FPL 2008: 627-630 - [c8]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: 318-330 - [c7]Andre Guntoro, Hans-Peter Keil, Manfred Glesner:
Configurable VLSI Architecture of a General Purpose Lifting-based Wavelet Processor. SIGMAP 2008: 69-75 - [c6]Andre Guntoro, Manfred Glesner:
A Flexible Floating-Point Wavelet Processor. SITIS 2008: 403-410 - [c5]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: 154-173 - 2007
- [c4]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: 7-14 - 2006
- [c3]Andre Guntoro, Peter Zipf, Oliver Soffke, Harald Klingbeil, Martin Kumm, Manfred Glesner:
Implementation of Realtime and Highspeed Phase Detector on FPGA. ARC 2006: 1-11 - 2005
- [c2]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: 151-156 - 2002
- [c1]Thiang, Resmana Lim, Andre Teguh Guntoro:
Car recognition using Gabor filter feature extraction. APCCAS (2) 2002: 451-455
Coauthor Index
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