| 2023 | ASPDAC | Approximating HW Accelerators through Partial Extractions onto Shared Artificial Neural Networks. | Prattay Chowdhury, Jorge Castro-Godnez, Benjamin Carrion Schafer |
| 2023 | DSN | Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities. | Jorge Castro-Godnez, Muhammad Abdullah Hanif, Muhammad Shafique |
| 2023 | DSN | Generic Accuracy Configurable Matrix Multiplication-Addition Accelerator using HLS. | Luis G. Len-Vega, Jorge Castro-Godnez |
| 2022 | ISCAS | AxRSU: Approximate Radix-4 Squarer Unit. | Morgana Macedo Azevedo da Rosa, Guilherme Paim, Jorge Castro-Godnez, Eduardo A. C. da Costa, Rafael Iankowski Soares, Sergio Bampi |
| 2021 | CASES | Multiple approximate instances in neural processing units for energy-efficient circuit synthesis: work-in-progress. | Tanfer Alan, Jorge Castro-Godnez, Jrg Henkel |
| 2020 | CASES | Towards Quality-Driven Approximate Software Generation for Accurate Hardware: Work-in-Progress. | Jorge Castro-Godnez, Muhammad Shafique, Jrg Henkel |
| 2020 | ICCAD | AxHLS: Design Space Exploration and High-Level Synthesis of Approximate Accelerators using Approximate Functional Units and Analytical Models. | Jorge Castro-Godnez, Julin Mateus-Vargas, Muhammad Shafique, Jrg Henkel |
| 2018 | DATE | Compiler-driven error analysis for designing approximate accelerators. | Jorge Castro-Godnez, Sven Esser, Muhammad Shafique, Santiago Pagani, Jrg Henkel |