Cecilia De la Parra

17 papers A 3C 2Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
HTTM: Head-wise Temporal Token Merging for Faster VGGT.
CoRR
Weitian Wang, Lukas Meiner, Shubham Rai, Cecilia De la Parra, Akash Kumar
2025 J jnl
MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective.
CoRR
Weitian Wang, Shubham Rai, Cecilia De la Parra, Akash Kumar
2024 — conf
Accelerating Automated Driving and ADAS Using HW/SW Codesign.
SOCC
Shubham Rai, Cecilia De la Parra, Martin Rapp, Jan Micha Borrmann, Nina Bretz, Stefan Metzlaff, Taha Soliman, Christoph Schorn
2024 — —
Post-Training Optimization of Cross-layer Approximate Computing for Edge Inference of Deep Learning Applications.
Cecilia De la Parra
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 — 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
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
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