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Eric C. Yeats
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2020 – today
- 2024
- [c5]Bokyung Kim, Qijia Huang, Brady Taylor, Qilin Zheng, Jonathan Ku, Nicky Ramos, Eric C. Yeats, Yiran Chen, Hai Helen Li:
MulPi: A Multi-Class and Patient-Independent Computing-in-SRAM Seizure Classifier. BioCAS 2024: 1-5 - [i5]Jingyang Zhang, Jingwei Sun, Eric C. Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Yang, Hai Helen Li:
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models. CoRR abs/2404.02936 (2024) - [i4]Eric C. Yeats, Cameron Darwin, Eduardo Ortega, Frank Liu, Hai Li:
Do Counterfactual Examples Complicate Adversarial Training? CoRR abs/2404.10588 (2024) - 2023
- [c4]Eric C. Yeats, Frank Y. Liu, Hai Helen Li:
Disentangling Learning Representations with Density Estimation. ICLR 2023 - [i3]Eric C. Yeats, Frank Liu, Hai Helen Li:
Disentangling Learning Representations with Density Estimation. CoRR abs/2302.04362 (2023) - [i2]Eric C. Yeats, Cameron Darwin, Frank Liu, Hai Li:
Adversarial Estimation of Topological Dimension with Harmonic Score Maps. CoRR abs/2312.06869 (2023) - 2022
- [c3]Brady Taylor, Nicky Ramos, Eric C. Yeats, Hai Li:
CMOS Implementation of Spiking Equilibrium Propagation for Real-Time Learning. AICAS 2022: 283-286 - [c2]Eric C. Yeats
, Frank Liu
, David Womble
, Hai Helen Li
:
NashAE: Disentangling Representations Through Adversarial Covariance Minimization. ECCV (27) 2022: 36-51 - [i1]Eric C. Yeats, Frank Liu, David Womble, Hai Li:
NashAE: Disentangling Representations through Adversarial Covariance Minimization. CoRR abs/2209.10677 (2022) - 2021
- [c1]Eric C. Yeats, Yiran Chen, Hai Li:
Improving Gradient Regularization using Complex-Valued Neural Networks. ICML 2021: 11953-11963
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