OrthoReg: Robust Network Pruning Using Orthonormality Regularization. - Ekdeep Singh Lubana; Puja Trivedi; Conrad D. Hougen; Robert P. Dick; Alfred O. Hero III (CoRR, 2020)

Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning. - Ekdeep Singh Lubana; Puja Trivedi; Robert P. Dick (CoRR, 2021)

Convolutional Neural Network Dynamics: A Graph Perspective. - Fatemeh Vahedian; Ruiyu Li; Puja Trivedi; Di Jin 003; Danai Koutra (CoRR, 2021)

Leveraging the Graph Structure of Neural Network Training Dynamics. - Fatemeh Vahedian; Ruiyu Li; Puja Trivedi; Di Jin 003; Danai Koutra (CIKM, 2022)

How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation. - Ekdeep Singh Lubana; Puja Trivedi; Danai Koutra; Robert P. Dick (CoLLAs, 2022)

Analyzing Data-Centric Properties for Graph Contrastive Learning. - Puja Trivedi; Ekdeep Singh Lubana; Mark Heimann; Danai Koutra; Jayaraman J. Thiagarajan (NeurIPS, 2022)

Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. - Puja Trivedi; Ekdeep Singh Lubana; Yujun Yan; Yaoqing Yang; Danai Koutra (WWW, 2022)

Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety. - Puja Trivedi; Danai Koutra; Jayaraman J. Thiagarajan (CoRR, 2022)

Analyzing Data-Centric Properties for Contrastive Learning on Graphs. - Puja Trivedi; Ekdeep Singh Lubana; Mark Heimann; Danai Koutra; Jayaraman J. Thiagarajan (CoRR, 2022)

A Closer Look At Scoring Functions And Generalization Prediction. - Puja Trivedi; Danai Koutra; Jayaraman J. Thiagarajan (ICASSP, 2023)

A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias. - Puja Trivedi; Danai Koutra; Jayaraman J. Thiagarajan (ICLR, 2023)

PAGER: A Framework for Failure Analysis of Deep Regression Models. - Jayaraman J. Thiagarajan; Vivek Sivaraman Narayanaswamy; Puja Trivedi; Rushil Anirudh (CoRR, 2023)

Leveraging Graph Diffusion Models for Network Refinement Tasks. - Puja Trivedi; Ryan A. Rossi; David Arbour; Tong Yu 001; Franck Dernoncourt; Sungchul Kim; Nedim Lipka; Namyong Park 001; Nesreen K. Ahmed; Danai Koutra (CoRR, 2023)

On Estimating Link Prediction Uncertainty Using Stochastic Centering. - Puja Trivedi; Danai Koutra; Jayaraman J. Thiagarajan (ICASSP, 2024)

Forward Learning of Graph Neural Networks. - Namyong Park 001; Xing Wang; Antoine Simoulin; Shuai Yang; Grey Yang; Ryan A. Rossi; Puja Trivedi; Nesreen K. Ahmed (ICLR, 2024)

Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks. - Puja Trivedi; Mark Heimann; Rushil Anirudh; Danai Koutra; Jayaraman J. Thiagarajan (ICLR, 2024)

PAGER: Accurate Failure Characterization in Deep Regression Models. - Jayaraman J. Thiagarajan; Vivek Sivaraman Narayanaswamy; Puja Trivedi; Rushil Anirudh (ICML, 2024)

Editing Partially Observable Networks via Graph Diffusion Models. - Puja Trivedi; Ryan A. Rossi; David Arbour; Tong Yu 001; Franck Dernoncourt; Sungchul Kim; Nedim Lipka; Namyong Park 001; Nesreen K. Ahmed; Danai Koutra (ICML, 2024)

Large Generative Graph Models. - Yu Wang 160; Ryan A. Rossi; Namyong Park 001; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (CoRR, 2024)

Fairness-Aware Graph Neural Networks: A Survey. - April Chen; Ryan A. Rossi; Namyong Park 001; Puja Trivedi; Yu Wang 160; Tong Yu 001; Sungchul Kim; Franck Dernoncourt; Nesreen K. Ahmed (ACM Trans. Knowl. Discov. Data, 2024)

A Large-scale Training Paradigm for Graph Generative Models. - Yu Wang 160; Ryan A. Rossi; Namyong Park 001; Huiyuan Chen; Nesreen K. Ahmed; Puja Trivedi; Franck Dernoncourt; Danai Koutra; Tyler Derr (ICLR, 2025)

Bridging the Scientific Knowledge Gap and Reproducibility: A Survey of Provenance, Assertion and Evidence Ontologies. - Tek Raj Chhetri; Yaroslav O. Halchenko; Dorota Jarecka; Puja Trivedi; Satrajit S. Ghosh; Patrick Ray; Lydia Ng (WWW (Companion Volume), 2025)

STRUCTSENSE: A Task-Agnostic Agentic Framework for Structured Information Extraction with Human-In-The-Loop Evaluation and Benchmarking. - Tek Raj Chhetri; Yibei Chen; Puja Trivedi; Dorota Jarecka; Saif Haobsh; Patrick Ray; Lydia Ng; Satrajit S. Ghosh (CoRR, 2025)