Andre Guntoro - RankMe

58 papers A 11B 4C 4Misc 1Journal 12Unranked 25

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