Puja Trivedi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Diffusion Models

Scoring Functions

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Puja Trivedi, Mark Heimann, Rushil Anirudh, Danai Koutra, Jayaraman J. Thiagarajan
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks. ICLR (2024)
Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed
Forward Learning of Graph Neural Networks. ICLR (2024)
Puja Trivedi, Mark Heimann, Rushil Anirudh, Danai Koutra, Jayaraman J. Thiagarajan
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks. CoRR (2024)
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
Fairness-Aware Graph Neural Networks: A Survey. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed
Forward Learning of Graph Neural Networks. CoRR (2024)
Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan
On Estimating Link Prediction Uncertainty Using Stochastic Centering. ICASSP (2024)
Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr
Large Generative Graph Models. CoRR (2024)
Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan
A Closer Look at Scoring Functions and Generalization Prediction. CoRR (2023)
Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias. ICLR (2023)
Puja Trivedi, Mark Heimann, Rushil Anirudh, Danai Koutra, Jayaraman J. Thiagarajan
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks. CoRR (2023)
Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias. CoRR (2023)
April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed
Fairness-Aware Graph Neural Networks: A Survey. CoRR (2023)
Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan
A Closer Look At Scoring Functions And Generalization Prediction. ICASSP (2023)
Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra
Leveraging Graph Diffusion Models for Network Refinement Tasks. CoRR (2023)
Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Puja Trivedi, Rushil Anirudh
PAGER: A Framework for Failure Analysis of Deep Regression Models. CoRR (2023)
Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra
Leveraging the Graph Structure of Neural Network Training Dynamics. CIKM (2022)
Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety. CoRR (2022)
Puja Trivedi, Ekdeep Singh Lubana, Mark Heimann, Danai Koutra, Jayaraman J. Thiagarajan
Analyzing Data-Centric Properties for Graph Contrastive Learning. NeurIPS (2022)
Ekdeep Singh Lubana, Puja Trivedi, Danai Koutra, Robert P. Dick
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation. CoLLAs (2022)
Puja Trivedi, Ekdeep Singh Lubana, Mark Heimann, Danai Koutra, Jayaraman J. Thiagarajan
Analyzing Data-Centric Properties for Contrastive Learning on Graphs. CoRR (2022)
Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. WWW (2022)
Ekdeep Singh Lubana, Puja Trivedi, Robert P. Dick
Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning. CoRR (2021)
Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. CoRR (2021)
Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra
Convolutional Neural Network Dynamics: A Graph Perspective. CoRR (2021)
Ekdeep Singh Lubana, Puja Trivedi, Conrad D. Hougen, Robert P. Dick, Alfred O. Hero III
OrthoReg: Robust Network Pruning Using Orthonormality Regularization. CoRR (2020)