| 2025 | ICCV | Mixa-Q: Revisiting Activation Sparsity for Vision Transformers From a Mixed-Precision Quantization Perspective. | Weitian Wang, Shubham Rai, Cecilia De la Parra, Akash Kumar |
| 2021 | ASPDAC | Efficient Accuracy Recovery in Approximate Neural Networks by Systematic Error Modelling. | Cecilia De la Parra, Andre Guntoro, Akash Kumar |
| 2021 | ASPDAC | A Novel DRAM-Based Process-in-Memory Architecture and its Implementation for CNNs. | Chirag Sudarshan, Taha Soliman, Cecilia De la Parra, Christian Weis, Leonardo Ecco, Matthias Jung, Norbert Wehn, Andre Guntoro |
| 2021 | DATE | Knowledge Distillation and Gradient Estimation for Active Error Compensation in Approximate Neural Networks. | Cecilia De la Parra, Xuyi Wu, Andre Guntoro, Akash Kumar |
| 2021 | ISCAS | Exploiting Resiliency for Kernel-Wise CNN Approximation Enabled by Adaptive Hardware Design. | Cecilia De la Parra, Ahmed El-Yamany, Taha Soliman, Akash Kumar, Norbert Wehn, Andre Guntoro |
| 2020 | DATE | Next Generation Arithmetic for Edge Computing. | Andre Guntoro, Cecilia De la Parra, Farhad Merchant, Florent de Dinechin, John L. Gustafson, Martin Langhammer, Rainer Leupers, Sangeeth Nambiar |
| 2020 | DATE | ProxSim: GPU-based Simulation Framework for Cross-Layer Approximate DNN Optimization. | Cecilia De la Parra, Andre Guntoro, Akash Kumar |
| 2020 | ISCAS | Full Approximation of Deep Neural Networks through Efficient Optimization. | Cecilia De la Parra, Andre Guntoro, Akash Kumar |