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ORCIDDaniela Sanchez Lopera
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2020 – today
- 2024
[c14]Endri Kaja, Nicolas Gerlin, Bihan Zhao, Daniela Sanchez Lopera, Jad Al Halabi, Azam Sher Khan, Sebastian Prebeck, Dominik Stoffel, Wolfgang Kunz, Wolfgang Ecker:
An Automated Exhaustive Fault Analysis Technique guided by Processor Formal Verification Methods. ISQED 2024: 1-8- [c13]Daniela Sanchez Lopera, Robert Kunzelmann
, Endri Kaja, Wolfgang Ecker:
Fake Timer: An Engine for Accurate Timing Estimation in Register Transfer Level Designs. ISQED 2024: 1-8 - [c12]Saruni Fernando, Robert Kunzelmann, Daniela Sanchez Lopera, Jad Al Halabi, Wolfgang Ecker:
Leveraging Large Language Models for the Automated Documentation of Hardware Designs. MECO 2024: 1-6 - 2023
- [c11]Erika S. Alcorta, Andreas Gerstlauer, Chenhui Deng, Qi Sun, Zhiru Zhang, Ceyu Xu, Lisa Wu Wills, Daniela Sanchez Lopera, Wolfgang Ecker, Siddharth Garg, Jiang Hu:
Special Session: Machine Learning for Embedded System Design. CODES+ISSS 2023: 28-37 - [c10]Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille:
MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling. ICASSP 2023: 1-5 - [c9]Daniela Sanchez Lopera, Ishwor Subedi, Wolfgang Ecker:
Using Graph Neural Networks for Timing Estimations of RTL Intermediate Representations. MLCAD 2023: 1-6 - 2022
- [j1]Daniela Sanchez Lopera, Lorenzo Servadei, Sebastian Siegfried Prebeck, Wolfgang Ecker:
Early RTL delay prediction using neural networks. Microprocess. Microsystems 94: 104671 (2022) - [c8]Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra:
Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar. ICASSP 2022: 3883-3887 - [c7]Daniela Sanchez Lopera, Wolfgang Ecker:
Applying GNNs to Timing Estimation at RTL. ICCAD 2022: 3:1-3:8 - [c6]Christian Lück, Daniela Sanchez Lopera, Sven Wenzek, Wolfgang Ecker:
Industrial Experience with Open-Source EDA Tools. MLCAD 2022: 143 - [i2]Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille:
MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling. CoRR abs/2210.13545 (2022) - 2021
- [c5]Daniela Sanchez Lopera, Lorenzo Servadei, Gamze Naz Kiprit, Souvik Hazra, Robert Wille, Wolfgang Ecker:
A Survey of Graph Neural Networks for Electronic Design Automation. MLCAD 2021: 1-6 - [c4]Daniela Sanchez Lopera, Lorenzo Servadei, Vishwa Priyanka Kasi, Sebastian Siegfried Prebeck, Wolfgang Ecker:
RTL Delay Prediction Using Neural Networks. NorCAS 2021: 1-7 - [c3]Zhao Han, Deyan Wang, Gabriel Rutsch, Bowen Li, Sebastian Siegfried Prebeck, Daniela Sanchez Lopera, Keerthikumara Devarajegowda, Wolfgang Ecker:
Aspect-Oriented Design Automation with Model Transformation. VLSI-SoC 2021: 1-6 - [c2]Zhao Han, Gabriel Rutsch, Deyan Wang, Bowen Li, Sebastian Siegfried Prebeck, Daniela Sanchez Lopera, Keerthikumara Devarajegowda, Wolfgang Ecker:
Transformative Hardware Design Following the Model-Driven Architecture Vision. VLSI-SoC (Selected Papers) 2021: 49-70 - [i1]Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra:
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar. CoRR abs/2110.05876 (2021) - 2020
- [c1]Vijay Deep Bhatt, Wolfgang Ecker, Volkan Esen, Zhao Han, Daniela Sanchez Lopera, Rituj Patel, Lorenzo Servadei, Sahil Singla, Sven Wenzek, Vijaydeep Yadav, Elena Zennaro:
SoC Design Automation with ML - It's Time for Research. MLCAD 2020: 35-36
Coauthor Index
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