activity
20242026
most citedCompressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AR2026

On the Sensitivity to Errors in Homomorphic Computing: Single Transient Bit-flip Client-side Error Characterization

Matías Mazzanti, Vattana Chan, Karthik Swaminathan +3

Homomorphic Encryption (HE) enables computation on encrypted data without decryption and is a key primitive for privacy-preserving computation in sensitive domains such as healthca…

cs.AR2026

When and Where Faults Matter: A Study of Transient Errors in CKKS Multiplication

Vattana Chan, Matías Mazzanti, Karthik Swaminathan +3

Homomorphic Encryption (HE) is a privacy-preserving encryption paradigm that enables computation directly on encrypted data without requiring decryption. In this paper, we study er…

cs.CV2025

EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media

Ismail Erbas, Ferhat Demirkiran, Karthik Swaminathan +6

Fluorescence LiDAR (FLiDAR), a Light Detection and Ranging (LiDAR) technology employed for distance and depth estimation across medical, automotive, and other fields, encounters si…

cs.AR2025

MEADOW: Memory-efficient Dataflow and Data Packing for Low Power Edge LLMs

Abhishek Moitra, Arkapravo Ghosh, Shrey Agarwal +3

The computational and memory challenges of large language models (LLMs) have sparked several optimization approaches towards their efficient implementation. While prior LLM-targete…

physics.optics2024★ 1 cited

Unlocking Real-Time Fluorescence Lifetime Imaging: Multi-Pixel Parallelism for FPGA-Accelerated Processing

Ismail Erbas, Aporva Amarnath, Vikas Pandey +3

Fluorescence lifetime imaging (FLI) is a widely used technique in the biomedical field for measuring the decay times of fluorescent molecules, providing insights into metabolic sta…

eess.IV2024★ 2 cited

Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging

Ismail Erbas, Vikas Pandey, Aporva Amarnath +4

Fluorescence lifetime imaging (FLI) is an important technique for studying cellular environments and molecular interactions, but its real-time application is limited by slow data a…

cs.AR2024

Towards Generalized On-Chip Communication for Programmable Accelerators in Heterogeneous Architectures

Joseph Zuckerman, John-David Wellman, Ajay Vanamali +8

We present several enhancements to the open-source ESP platform to support flexible and efficient on-chip communication for programmable accelerators in heterogeneous SoCs. These e…