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Tianwei Ni
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2020 – today
- 2024
- [c9]Pingcheng Dong
, Yonghao Tan
Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers. DAC 2024: 220:1-220:6 - [c8]Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi, Michel Ma, Clement Gehring, Aditya Mahajan, Pierre-Luc Bacon:
Bridging State and History Representations: Understanding Self-Predictive RL. ICLR 2024 - [c7]Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D'Oro, Pierre-Luc Bacon:
Do Transformer World Models Give Better Policy Gradients? ICML 2024 - [i11]Tianwei Ni, Benjamin Eysenbach
Bridging State and History Representations: Understanding Self-Predictive RL. CoRR abs/2401.08898 (2024) - [i10]Michel Ma, Tianwei Ni, Clement Gehring, Pierluca D'Oro, Pierre-Luc Bacon:
Do Transformer World Models Give Better Policy Gradients? CoRR abs/2402.05290 (2024) - [i9]Pingcheng Dong, Yonghao Tan, Dong Zhang, Tianwei Ni, Xuejiao Liu, Yu Liu, Peng Luo, Luhong Liang, Shih-Yang Liu, Xijie Huang, Huaiyu Zhu
Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers. CoRR abs/2403.19591 (2024) - 2023
- [c6]Tianwei Ni, Michel Ma, Benjamin Eysenbach, Pierre-Luc Bacon:
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment. NeurIPS 2023 - [c5]Tianwei Ni, Kiana Ehsani, Luca Weihs, Jordi Salvador:
Towards Disturbance-Free Visual Mobile Manipulation. WACV 2023: 5208-5220 - [i8]Tianwei Ni, Michel Ma, Benjamin Eysenbach
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment. CoRR abs/2307.03864 (2023) - 2022
- [c4]Tianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov:
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs. ICML 2022: 16691-16723 - 2021
- [j1]Huao Li, Tianwei Ni, Siddharth Agrawal, Fan Jia, Suhas Raja
Individualized Mutual Adaptation in Human-Agent Teams. IEEE Trans. Hum. Mach. Syst. 51(6): 706-714 (2021) - [i7]Tianwei Ni, Huao Li, Siddharth Agrawal, Suhas Raja, Fan Jia, Yikang Gui
Adaptive Agent Architecture for Real-time Human-Agent Teaming. CoRR abs/2103.04439 (2021) - [i6]Tianwei Ni, Benjamin Eysenbach, Ruslan Salakhutdinov:
Recurrent Model-Free RL is a Strong Baseline for Many POMDPs. CoRR abs/2110.05038 (2021) - [i5]Tianwei Ni, Kiana Ehsani, Luca Weihs, Jordi Salvador:
Towards Disturbance-Free Visual Mobile Manipulation. CoRR abs/2112.12612 (2021) - 2020
- [c3]Tianwei Ni, Harshit S. Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Ben Eysenbach:
f-IRL: Inverse Reinforcement Learning via State Marginal Matching. CoRL 2020: 529-551 - [c2]Jintao Wang, Ping Ji, Wen Xiao, Tianwei Ni, Wei Sun, Sheng Zeng:
Lightweight Convolutional Neural Networks for Vehicle Target Recognition. ICITE 2020: 245-248 - [i4]Yufei Wang, Tianwei Ni:
Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient. CoRR abs/2007.01932 (2020) - [i3]Tianwei Ni, Harshit S. Sikchi, Yufei Wang, Tejus Gupta, Lisa Lee, Benjamin Eysenbach:
f-IRL: Inverse Reinforcement Learning via State Marginal Matching. CoRR abs/2011.04709 (2020)
2010 – 2019
- 2019
- [c1]Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille
Elastic Boundary Projection for 3D Medical Image Segmentation. CVPR 2019: 2109-2118 - 2018
- [i2]Huangjie Zheng, Lingxi Xie, Tianwei Ni, Ya Zhang, Yanfeng Wang, Qi Tian, Elliot K. Fishman, Alan L. Yuille:
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation. CoRR abs/1811.11814 (2018) - [i1]Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille:
Elastic Boundary Projection for 3D Medical Imaging Segmentation. CoRR abs/1812.00518 (2018)
Coauthor Index
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last updated on 2024-12-02 21:30 CET by the dblp team
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