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Hi there, I am Jiaxin πŸ‘‹!

πŸ”­ I am a Staff Research Scientist at Intuit AI Research where my focus is Generative AI (large language models (LLMs), and diffusion models), and AI Robustness & Safety (uncertainty, reliability, and trustworthiness) with extensive applications to complex real-world tasks. Previously, I was a Research Staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory where my research aims at accelerating AI for Science on supercomputers, such as Summit and Frontier. I received my Ph.D. from the Johns Hopkins University with an emphasis on uncertainty quantification (UQ).

πŸ“« You may find more information through my personal website and feel free to contact me via email at [email protected].

πŸ˜„ Some recent publications in LLMs (full publication list in Google Scholar)

Jiaxin's GitHub stats

Jiaxin Zhang's Projects

imbalanced-semi-self icon imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

imbalanced-ssl icon imbalanced-ssl

Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"

informative-outlier-mining icon informative-outlier-mining

We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness of OOD detection to various types of adversarial OOD inputs and establishes state-of-the-art performance.

inn-exploding-inverses icon inn-exploding-inverses

Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks http://arxiv.org/abs/2006.09347

inn_toy_data icon inn_toy_data

Code for artificial toy data sets used to evaluate (conditional) invertible neural networks and related methods

invdn icon invdn

Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).

invfool icon invfool

Code related to the paper "On instabilities of deep learning in image reconstruction - Does AI come at a cost?"

is-bert icon is-bert

An Unsupervised Sentence Embedding Method by Mutual Information Maximization (EMNLP2020)

iv_rl icon iv_rl

IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jax-md icon jax-md

Differentiable, Hardware Accelerated, Molecular Dynamics

jem icon jem

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

keras-io icon keras-io

Keras documentation, hosted live at keras.io

kinetic-gan icon kinetic-gan

Code for the paper "Generative Adversarial Graph Convolutional Networks for Human Action Synthesis", WACV 2022

kwng icon kwng

A Pytorch implementation of the KWNG estimator

ldebm icon ldebm

[ICML 2022] Latent Diffusion Energy-Based Model for Interpretable Text Modeling

ldu icon ldu

Latent Discriminant deterministic Uncertainty [ECCV2022]

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