Jacob R. Stevens
Engineering · Purdue University West Lafayette
Publications
35
Citations
399
Est. group size
~1
Recurring co-author estimate
Active years
24
Publishing since 2002
Jacob R. Stevens' publication record centers on computer engineering topics such as designing efficient hardware and software for neural networks, including transformers and graph neural networks, and approximate computing techniques to make these models faster and smaller. The record also includes some unrelated titles on fingerprint spoofing detection and economics topics, which may reflect co-authorship on cross-disciplinary projects, name overlap with other authors, or database attribution issues rather than a single coherent research focus. Prospective students should note the mixed nature of this record when evaluating research fit.
Publication output rose to a peak in 2021 and has since declined, suggesting a slowing pace of output over the last few years after an active period.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Is Quantitative Easing a Signal? A Unified Model of the Signalling and Portfolio Balance Channels
SSRN Electronic Journal · 2024
- Fingerprint Liveness Detection using Minutiae-Independent Dense Sampling of Local Patches
arXiv (Cornell University) · 2023
- Efficient ensembles of graph neural networks
Proceedings of the 59th ACM/IEEE Design Automation Conference · 2022
- AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models
2022 International Joint Conference on Neural Networks (IJCNN) · 2022
- Money creation in the modern economy: an appraisal
Review of Keynesian Economics · 2021
- Optimizing Transformers with Approximate Computing for Faster, Smaller and more Accurate NLP Models
arXiv (Cornell University) · 2021
- GNNerator: A Hardware/Software Framework for Accelerating Graph Neural Networks
2021
- Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers
2021
- Consolidating the COVID Debt
SSRN Electronic Journal · 2021
- Softermax: Hardware/Software Co-Design of an Efficient Softmax for\n Transformers
arXiv (Cornell University) · 2021
- GNNerator: A Hardware/Software Framework for Accelerating Graph Neural\n Networks
arXiv (Cornell University) · 2021
- A Survey on Spoofing Detection Systems for Fake Fingerprint Presentation Attacks
Smart innovation, systems and technologies · 2020
- Emerging Neural Workloads and Their Impact on Hardware
2020
- AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models
arXiv (Cornell University) · 2020
- Manna
2019
- arXiv (Cornell University)×6
- SSRN Electronic Journal×2
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems×1
- ACM Transactions on Embedded Computing Systems×1
- Review of Keynesian Economics×1
- Sumeet K. Gupta
Engineering · Purdue University West Lafayette
- Sumeet Kumar Gupta
Engineering · Purdue University West Lafayette
- Atanu Saha
Engineering · Purdue University West Lafayette
- Revanth Koduru
Engineering · Purdue University West Lafayette
- Sourjya Roy
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile