Psychovisual saliency in color images. - Soumyajit Gupta; Rahul Agrawal; Ritwik Kumar Layek; Jayanta Mukhopadhyay (NCVPRIPG, 2013)

A GPU based Real-Time CUDA implementation for obtaining Visual Saliency. - Rahul Agrawal; Soumyajit Gupta; Jayanta Mukherjee 001; Ritwik Kumar Layek (ICVGIP, 2014)

Higher Order Mutual Information Approximation for Feature Selection. - Jilin Wu; Soumyajit Gupta; Chandrajit Bajaj (CoRR, 2016)

Efficient Clustering-Based Noise Covariance Estimation for Maximum Noise Fraction. - Soumyajit Gupta; Chandrajit Bajaj (NCVPRIPG, 2017)

A Streaming model for Generalized Rayleigh with extension to Minimum Noise Fraction. - Soumyajit Gupta; Chandrajit Bajaj (IEEE BigData, 2019)

Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval. - Soumyajit Gupta; Mücahid Kutlu; Vivek Khetan; Matthew Lease (ECIR (1), 2019)

TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes. - Gurpreet Singh; Soumyajit Gupta; Matt Lease; Clint N. Dawson (CoRR, 2020)

Prevention is Better than Cure: Handling Basis Collapse and Transparency in Dense Networks. - Gurpreet Singh; Soumyajit Gupta; Clint N. Dawson (CoRR, 2020)

Extracting Optimal Solution Manifolds using Constrained Neural Optimization. - Gurpreet Singh; Soumyajit Gupta; Matthew Lease (CoRR, 2020)

Streaming Singular Value Decomposition for Big Data Applications. - Gurpreet Singh; Soumyajit Gupta; Matthew Lease; Clint Dawson 001 (CoRR, 2020)

Pareto Solutions vs Dataset Optima: Concepts and Methods for Optimizing Competing Objectives with Constraints in Retrieval. - Soumyajit Gupta; Gurpreet Singh; Anubrata Das 001; Matthew Lease (ICTIR, 2021)

A Hybrid 2-stage Neural Optimization for Pareto Front Extraction. - Gurpreet Singh; Soumyajit Gupta; Matthew Lease; Clint Dawson 001 (CoRR, 2021)

SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing. - Gurpreet Singh; Soumyajit Gupta; Matthew Lease; Clint Dawson 001 (CoRR, 2021)

Tail-Net: Extracting Lowest Singular Triplets for Big Data Applications. - Gurpreet Singh; Soumyajit Gupta (CoRR, 2021)

Scalable Uni-directional Pareto Optimality for Multi-Task Learning with Constraints. - Soumyajit Gupta; Gurpreet Singh; Matthew Lease (CoRR, 2021)

Learning a neural Pareto manifold extractor with constraints. - Soumyajit Gupta; Gurpreet Singh; Raghu Bollapragada; Matthew Lease (UAI, 2022)

Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection. - Venelin Kovatchev; Soumyajit Gupta; Matthew Lease (CoRR, 2022)

HOFS: Higher order mutual information approximation for feature selection in R. - Krzysztof Gajowniczek; Jialin Wu; Soumyajit Gupta; Chandrajit Bajaj (SoftwareX, 2022)

Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection. - Soumyajit Gupta; Sooyong Lee; Maria De-Arteaga; Matthew Lease (WWW, 2023)

Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection. - Soumyajit Gupta; Venelin Kovatchev; Maria De-Arteaga; Matthew Lease (CoRR, 2024)

Finding Pareto trade-offs in fair and accurate detection of toxic speech. - Soumyajit Gupta; Venelin Kovatchev; Anubrata Das 001; Maria De-Arteaga; Matthew Lease (Inf. Res., 2025)

DeepEyeNet: Adaptive Genetic Bayesian Algorithm Based Hybrid ConvNeXtTiny Framework For Multi-Feature Glaucoma Eye Diagnosis. - Angshuman Roy; Anuvab Sen; Soumyajit Gupta; Soham Haldar; Subhrajit Deb; Taraka Nithin Vankala; Arkapravo Das (CoRR, 2025)