Tianlin Liu

According to our database, Tianlin Liu authored at least 44 papers between 2008 and 2024.

Collaborative distances:

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

2024

Routers in Vision Mixture of Experts: An Empirical Study.

Tianlin Liu, Mathieu Blondel, Carlos Riquelme Ruiz, Joan Puigcerver

Trans. Mach. Learn. Res., 2024

WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs.

Tianlin Liu, Jose Antonio Lara Benitez, Florian Faucher, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic

Trans. Mach. Learn. Res., 2024

Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise.

Enea Monzio Compagnoni, Tianlin Liu, Rustem Islamov, Frank Norbert Proske, Antonio Orvieto, Aurélien Lucchi

CoRR, 2024

LoFi: Scalable Local Image Reconstruction with Implicit Neural Representation.

AmirEhsan Khorashadizadeh, Tobías I. Liaudat, Tianlin Liu, Jason D. McEwen, Ivan Dokmanic

CoRR, 2024

SeisLM: a Foundation Model for Seismic Waveforms.

Tianlin Liu, Jannes Münchmeyer, Laura Laurenti, Chris Marone, Maarten V. de Hoop, Ivan Dokmanic

CoRR, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

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

CoRR, 2024

Direct Language Model Alignment from Online AI Feedback.

Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi Liu, Misha Khalman, Felipe Llinares, Alexandre Ramé, Thomas Mesnard, Yao Zhao, Bilal Piot, Johan Ferret, Mathieu Blondel

CoRR, 2024

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning.

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

CoRR, 2024

GLIMPSE: Generalized Local Imaging with MLPs.

AmirEhsan Khorashadizadeh, Valentin Debarnot, Tianlin Liu, Ivan Dokmanic

CoRR, 2024

State Estimation Transformers for Agile Legged Locomotion.

Chen Yu, Yichu Yang, Tianlin Liu, Yangwei You, Mingliang Zhou, Diyun Xiang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Decoding-time Realignment of Language Models.

Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Scaling-up medical vision-and-language representation learning with federated learning.

Siyu Lu, Zheng Liu, Tianlin Liu, Wangchunshu Zhou

Eng. Appl. Artif. Intell., November, 2023

Motion-Driven Spatial and Temporal Adaptive High-Resolution Graph Convolutional Networks for Skeleton-Based Action Recognition.

Zengxi Huang, Yusong Qin, Xiaobing Lin, Tianlin Liu, Zhenhua Feng, Yiguang Liu

IEEE Trans. Circuits Syst. Video Technol., April, 2023

CEMSSL: A Unified Framework for Multi-Solution Inverse Kinematic Model Learning of Robot Arms with High-Precision Manipulation.

Weiming Qu, Tianlin Liu, Dingsheng Luo

CoRR, 2023

Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematics Model Learning.

Weiming Qu, Tianlin Liu, Xihong Wu, Dingsheng Luo

CoRR, 2023

High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement.

Weiming Qu, Tianlin Liu, Dingsheng Luo

CoRR, 2023

Run and Catch: Dynamic Object-Catching of Quadrupedal Robots.

Yangwei You, Tianlin Liu, Xiaowei Liang, Zhe Xu, Mingliang Zhou, Zhibin Li, Shiwu Zhang

IROS, 2023

Sparsity-Constrained Optimal Transport.

Tianlin Liu, Joan Puigcerver, Mathieu Blondel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematic Model Learning.

Weiming Qu, Tianlin Liu, Xihong Wu, Dingsheng Luo

Proceedings of the IEEE International Conference on Development and Learning, 2023

2022

Learning Multiscale Convolutional Dictionaries for Image Reconstruction.

Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic

IEEE Trans. Computational Imaging, 2022

Universal Approximation Under Constraints is Possible with Transformers.

Anastasis Kratsios, Behnoosh Zamanlooy, Tianlin Liu, Ivan Dokmanic

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Panoramic Video Quality Assessment Based on Non-Local Spherical CNN.

Jiachen Yang, Tianlin Liu, Bin Jiang, Wen Lu, Qinggang Meng

IEEE Trans. Multim., 2021

Approaching Sound Object with Sensorimotor Coordination when Sensors Partially Damaged.

Shuai Fang, Yaoyao Wei, Weikai Lin, Jianan Zhang, Tianlin Liu, Dingsheng Luo

Proceedings of the IEEE International Conference on Development and Learning, 2021

2020

Interpreting U-Nets via Task-Driven Multiscale Dictionary Learning.

Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic

CoRR, 2020

Finding trainable sparse networks through Neural Tangent Transfer.

Tianlin Liu, Friedemann Zenke

Proceedings of the 37th International Conference on Machine Learning, 2020

Causally Denoise Word Embeddings Using Half-Sibling Regression.

Zekun Yang, Tianlin Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Harnessing Slow Dynamics in Neuromorphic Computation.

Tianlin Liu

CoRR, 2019

Reservoir Transfer on Analog Neuromorphic Hardware.

Xu He, Tianlin Liu, Fatemeh Hadaeghi, Herbert Jaeger

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Continual Learning for Sentence Representations Using Conceptors.

Tianlin Liu, Lyle H. Ungar, João Sedoc

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Hierarchical Model for StarCraft II Mini-Game.

Tianlin Liu, Xihong Wu, Dingsheng Luo

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Action Selection Based on Prediction for Robot Planning.

Mengxi Nie, Dingsheng Luo, Tianlin Liu, Xihong Wu

Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

Unsupervised Post-Processing of Word Vectors via Conceptor Negation.

Tianlin Liu, Lyle H. Ungar, João Sedoc

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors.

Tianlin Liu, João Sedoc, Lyle H. Ungar

CoRR, 2018

A Consistent Method for Learning OOMs from Asymptotically Stationary Time Series Data Containing Missing Values.

Tianlin Liu

CoRR, 2018

Estimating Gradual-Emotional Behavior in One-Minute Videos with ESNs.

Tianlin Liu, Arvid Kappas

CoRR, 2018

Fast Binary Compressive Sensing via 𝓁₀ Gradient Descent.

Tianlin Liu, Dae Gwan Lee

CoRR, 2018

3D Panoramic Virtual Reality Video Quality Assessment Based on 3D Convolutional Neural Networks.

Jiachen Yang, Tianlin Liu, Bin Jiang, Houbing Song, Wen Lu

IEEE Access, 2018

Robot Learning to Play Drums with an Open-Ended Internal Model.

Tianlin Liu, Jianan Zhang, Xingfang Wu, Xihong Wu, Dingsheng Luo

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Self-developing Proprioception-Based Robot Internal Models.

Tao Zhang, Fan Hu, Yian Deng, Mengxi Nie, Tianlin Liu, Xihong Wu, Dingsheng Luo

Proceedings of the Intelligence Science II, 2018

Predicting Engagement Breakdown in HRI Using Thin-Slices of Facial Expressions.

Tianlin Liu, Arvid Kappas

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Developing Robot Drumming Skill with Listening-Playing Loop.

Xingfang Wu, Tianlin Liu, Yian Deng, Xihong Wu, Dingsheng Luo

Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

Learning to chase a ball efficiently and smoothly for a wheeled robot.

Yaoyao Wei, Tianlin Liu, Yian Deng, Xihong Wu, Dingsheng Luo

Proceedings of the 24th International Conference on Mechatronics and Machine Vision in Practice, 2017

2008

Knowledge Reduction in Incomplete and Fuzzy Objective Information Systems.

Tianlin Liu, Zhigang Zhang, Liu Xuejuan

Proceedings of the 2008 International Conference on Computational Intelligence and Security, 2008