Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs. - Varun Mannam; Arman Kazemi (CoRR, 2020)

Machine learning for faster and smarter fluorescence lifetime imaging microscopy. - Varun Mannam; Yide Zhang; Xiaotong Yuan; Cara Ravasio; Scott S. Howard (CoRR, 2020)

Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels. - Scott S. Howard; Grant Barthelmes; Cara Ravasio; Lisa Huang; Benjamin Poag; Varun Mannam (CoRR, 2020)

Deep learning-based super-resolution fluorescence microscopy on small datasets. - Varun Mannam; Yide Zhang; Xiaotong Yuan; Scott S. Howard (CoRR, 2021)

Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM). - Varun Mannam; Yide Zhang; Xiaotong Yuan; Takashi Hato; Pierre C. Dagher; Evan L. Nichols; Cody J. Smith; Kenneth W. Dunn; Scott S. Howard (CoRR, 2021)

Low-Energy Convolutional Neural Networks (CNNs) using Hadamard Method. - Varun Mannam (IEEE Big Data, 2022)

Low dosage 3D volume fluorescence microscopy imaging using compressive sensing. - Varun Mannam; Jacob Brandt; Cody J. Smith; Scott S. Howard (CoRR, 2022)

Improving fluorescence lifetime imaging microscopy phasor accuracy using convolutional neural networks. - Varun Mannam; Jacob Brandt; Cody J. Smith; Xiaotong Yuan; Scott S. Howard (Frontiers Bioinform., 2023)

Knowledge Graph Enhanced Language Agents for Recommendation. - Taicheng Guo; Chaochun Liu; Hai Wang; Varun Mannam; Fang Wang; Xin Chen; Xiangliang Zhang 001; Chandan K. Reddy (CoRR, 2024)

Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis. - Varun Mannam; Zhenyu Shi (CoRR, 2025)

Evaluating VisualRAG: Quantifying Cross-Modal Performance in Enterprise Document Understanding. - Varun Mannam; Fang Wang; Xin Chen (CoRR, 2025)

TalentMine: LLM-Based Extraction and Question-Answering from Multimodal Talent Tables. - Varun Mannam; Fang Wang; Chaochun Liu; Xin Chen (CoRR, 2025)