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Journal Articles
- 2024
[j7]Tianlin Liu, Jose Antonio Lara Benitez, Florian Faucher, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic:
WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs. Trans. Mach. Learn. Res. 2024 (2024)- [j6]Tianlin Liu, Mathieu Blondel, Carlos Riquelme Ruiz, Joan Puigcerver:
Routers in Vision Mixture of Experts: An Empirical Study. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j5]Siyu Lu
, Zheng Liu, Tianlin Liu, Wangchunshu Zhou:
Scaling-up medical vision-and-language representation learning with federated learning. Eng. Appl. Artif. Intell. 126(Part D): 107037 (2023) - [j4]Zengxi Huang, Yusong Qin, Xiaobing Lin, Tianlin Liu, Zhen-Hua Feng, Yiguang Liu:
Motion-Driven Spatial and Temporal Adaptive High-Resolution Graph Convolutional Networks for Skeleton-Based Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1868-1883 (2023) - 2022
- [j3]Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic:
Learning Multiscale Convolutional Dictionaries for Image Reconstruction. IEEE Trans. Computational Imaging 8: 425-437 (2022) - 2021
- [j2]Jiachen Yang, Tianlin Liu, Bin Jiang, Wen Lu, Qinggang Meng:
Panoramic Video Quality Assessment Based on Non-Local Spherical CNN. IEEE Trans. Multim. 23: 797-809 (2021) - 2018
- [j1]Jiachen Yang, Tianlin Liu, Bin Jiang, Houbing Song, Wen Lu:
3D Panoramic Virtual Reality Video Quality Assessment Based on 3D Convolutional Neural Networks. IEEE Access 6: 38669-38682 (2018)
Conference and Workshop Papers
- 2024
- [c19]Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel:
Decoding-time Realignment of Language Models. ICML 2024 - 2023
- [c18]Weiming Qu, Tianlin Liu, Xihong Wu, Dingsheng Luo:
Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematic Model Learning. ICDL 2023: 100-106 - [c17]Tianlin Liu, Joan Puigcerver, Mathieu Blondel:
Sparsity-Constrained Optimal Transport. ICLR 2023 - [c16]Yangwei You, Tianlin Liu, Xiaowei Liang, Zhe Xu, Mingliang Zhou, Zhibin Li, Shiwu Zhang:
Run and Catch: Dynamic Object-Catching of Quadrupedal Robots. IROS 2023: 743-750 - 2022
- [c15]Anastasis Kratsios, Behnoosh Zamanlooy, Tianlin Liu, Ivan Dokmanic:
Universal Approximation Under Constraints is Possible with Transformers. ICLR 2022 - 2021
- [c14]Shuai Fang, Yaoyao Wei, Weikai Lin, Jianan Zhang, Tianlin Liu, Dingsheng Luo:
Approaching Sound Object with Sensorimotor Coordination when Sensors Partially Damaged. ICDL 2021: 1-7 - 2020
- [c13]Zekun Yang, Tianlin Liu:
Causally Denoise Word Embeddings Using Half-Sibling Regression. AAAI 2020: 9426-9433 - [c12]Tianlin Liu, Friedemann Zenke:
Finding trainable sparse networks through Neural Tangent Transfer. ICML 2020: 6336-6347 - 2019
- [c11]Tianlin Liu, Lyle H. Ungar, João Sedoc:
Unsupervised Post-Processing of Word Vectors via Conceptor Negation. AAAI 2019: 6778-6785 - [c10]Mengxi Nie, Dingsheng Luo, Tianlin Liu, Xihong Wu:
Action Selection Based on Prediction for Robot Planning. ICDL-EPIROB 2019: 201-206 - [c9]Tianlin Liu, Xihong Wu, Dingsheng Luo:
A Hierarchical Model for StarCraft II Mini-Game. ICMLA 2019: 222-227 - [c8]Tianlin Liu, Lyle H. Ungar, João Sedoc:
Continual Learning for Sentence Representations Using Conceptors. NAACL-HLT (1) 2019: 3274-3279 - [c7]Xu He, Tianlin Liu, Fatemeh Hadaeghi, Herbert Jaeger:
Reservoir Transfer on Analog Neuromorphic Hardware. NER 2019: 1234-1238 - 2018
- [c6]Tianlin Liu, Arvid Kappas:
Predicting Engagement Breakdown in HRI Using Thin-Slices of Facial Expressions. AAAI Workshops 2018: 37-43 - [c5]Tao Zhang, Fan Hu, Yian Deng, Mengxi Nie, Tianlin Liu, Xihong Wu, Dingsheng Luo:
Self-developing Proprioception-Based Robot Internal Models. IFIP TC12 ICIS 2018: 321-332 - [c4]Tianlin Liu, Jianan Zhang, Xingfang Wu, Xihong Wu, Dingsheng Luo:
Robot Learning to Play Drums with an Open-Ended Internal Model. ROBIO 2018: 305-311 - 2017
- [c3]Yaoyao Wei, Tianlin Liu, Yian Deng, Xihong Wu, Dingsheng Luo:
Learning to chase a ball efficiently and smoothly for a wheeled robot. M2VIP 2017: 1-6 - [c2]Xingfang Wu, Tianlin Liu, Yian Deng, Xihong Wu, Dingsheng Luo:
Developing Robot Drumming Skill with Listening-Playing Loop. ICSI (2) 2017: 559-566 - 2008
- [c1]Tianlin Liu, Zhigang Zhang, Liu Xuejuan:
Knowledge Reduction in Incomplete and Fuzzy Objective Information Systems. CIS (2) 2008: 138-141
Informal and Other Publications
- 2024
- [i21]AmirEhsan Khorashadizadeh, Valentin Debarnot, Tianlin Liu, Ivan Dokmanic:
GLIMPSE: Generalized Local Imaging with MLPs. CoRR abs/2401.00816 (2024) - [i20]Tianlin Liu, Mathieu Blondel, Carlos Riquelme, Joan Puigcerver:
Routers in Vision Mixture of Experts: An Empirical Study. CoRR abs/2401.15969 (2024) - [i19]Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel:
Decoding-time Realignment of Language Models. CoRR abs/2402.02992 (2024) - [i18]Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi:
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR abs/2402.03046 (2024) - [i17]Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi Liu, Misha Khalman, Felipe Llinares, Alexandre Ramé, Thomas Mesnard, Yao Zhao, Bilal Piot, Johan Ferret, Mathieu Blondel:
Direct Language Model Alignment from Online AI Feedback. CoRR abs/2402.04792 (2024) - [i16]Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin:
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR abs/2406.16253 (2024) - 2023
- [i15]Weiming Qu, Tianlin Liu, Dingsheng Luo:
High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement. CoRR abs/2302.13338 (2023) - [i14]Weiming Qu, Tianlin Liu, Xihong Wu, Dingsheng Luo:
Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematics Model Learning. CoRR abs/2302.13346 (2023) - [i13]Weiming Qu, Tianlin Liu, Dingsheng Luo:
CEMSSL: A Unified Framework for Multi-Solution Inverse Kinematic Model Learning of Robot Arms with High-Precision Manipulation. CoRR abs/2306.12718 (2023) - 2022
- [i12]Tianlin Liu, Joan Puigcerver, Mathieu Blondel:
Sparsity-Constrained Optimal Transport. CoRR abs/2209.15466 (2022) - 2021
- [i11]Anastasis Kratsios, Behnoosh Zamanlooy, Tianlin Liu, Ivan Dokmanic:
Universal Approximation Under Constraints is Possible with Transformers. CoRR abs/2110.03303 (2021) - 2020
- [i10]Tianlin Liu, Friedemann Zenke:
Finding trainable sparse networks through Neural Tangent Transfer. CoRR abs/2006.08228 (2020) - [i9]Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic:
Interpreting U-Nets via Task-Driven Multiscale Dictionary Learning. CoRR abs/2011.12815 (2020) - 2019
- [i8]Tianlin Liu, Lyle H. Ungar, João Sedoc:
Continual Learning for Sentence Representations Using Conceptors. CoRR abs/1904.09187 (2019) - [i7]Tianlin Liu:
Harnessing Slow Dynamics in Neuromorphic Computation. CoRR abs/1905.12116 (2019) - [i6]Zekun Yang, Tianlin Liu:
Causally Denoise Word Embeddings Using Half-Sibling Regression. CoRR abs/1911.10524 (2019) - 2018
- [i5]Tianlin Liu, Dae Gwan Lee:
Fast Binary Compressive Sensing via 𝓁0 Gradient Descent. CoRR abs/1801.09937 (2018) - [i4]Tianlin Liu, Arvid Kappas:
Estimating Gradual-Emotional Behavior in One-Minute Videos with ESNs. CoRR abs/1805.08690 (2018) - [i3]Tianlin Liu:
A Consistent Method for Learning OOMs from Asymptotically Stationary Time Series Data Containing Missing Values. CoRR abs/1808.03873 (2018) - [i2]Tianlin Liu, Lyle H. Ungar, João Sedoc:
Unsupervised Post-processing of Word Vectors via Conceptor Negation. CoRR abs/1811.11001 (2018) - [i1]Tianlin Liu, João Sedoc, Lyle H. Ungar:
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors. CoRR abs/1811.11002 (2018)
Coauthor Index
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