Jeffrey Jiang

According to our database, Jeffrey Jiang authored at least 9 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Simulated Human Learning in a Dynamic, Partially-Observed, Time-Series Environment.

Jeffrey Jiang, Kevin Hong, Emily Kuczynski, Gregory J. Pottie

CoRR, November, 2025

PUREVQ-GAN: Defending Data Poisoning Attacks through Vector-Quantized Bottlenecks.

Alexander Branch, Omead Pooladzandi, Radin Khosraviani, Sunay Gajanan Bhat, Jeffrey Jiang, Gregory J. Pottie

CoRR, September, 2025

Streaming Algorithms For ℓp Flows and ℓp Regression.

Amit Chakrabarti, Jeffrey Jiang, David P. Woodruff, Taisuke Yasuda

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models.

Omead Pooladzandi, Jeffrey Jiang, Sunay Bhat, Gregory J. Pottie

CoRR, 2024

PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics.

Omead Pooladzandi, Sunay Bhat, Jeffrey Jiang, Alexander Branch, Gregory J. Pottie

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Towards Composable Distributions of Latent Space Augmentations.

Omead Pooladzandi, Jeffrey Jiang, Sunay Bhat, Gregory J. Pottie

CoRR, 2023

2022

Hypothesis Testing using Causal and Causal Variational Generative Models.

Jeffrey Jiang, Omead Pooladzandi, Sunay Bhat, Gregory J. Pottie

CoRR, 2022

De-Biasing Generative Models using Counterfactual Methods.

Sunay Bhat, Jeffrey Jiang, Omead Pooladzandi, Gregory J. Pottie

CoRR, 2022

2017

Shared Memory Parallelization of MTTKRP for Dense Tensors.

Koby Hayashi, Grey Ballard, Jeffrey Jiang, Michael J. Tobia

CoRR, 2017