Tianlin Liu - RankMe

64 papers A* 10A 3C 2Misc 1Journal 37Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise. ICLR Enea Monzio Compagnoni, Tianlin Liu, Rustem Islamov, Frank Norbert Proske, Antonio Orvieto, Aurélien Lucchi
2025	J	`jnl`	Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction. CoRR Mathieu Blondel, Michael E. Sander, Germain Vivier-Ardisson, Tianlin Liu, Vincent Roulet
2025	Misc	`conf`	CEMSSL: Conditional Embodied Self-Supervised Learning is All You Need for High-precision Multi-solution Inverse Kinematics of Robot Arms. ICASSP Weiming Qu, Tianlin Liu, Jiawei Du, Dingsheng Luo
2025	J	`jnl`	GLIMPSE: Generalized Locality for Scalable and Robust CT. IEEE Trans. Medical Imaging AmirEhsan Khorashadizadeh, Valentin Debarnot, Tianlin Liu, Ivan Dokmanic
2025	A*	`conf`	Joint Learning of Energy-based Models and their Partition Function. ICML Michael Eli Sander, Vincent Roulet, Tianlin Liu, Mathieu Blondel
2025	J	`jnl`	Joint Learning of Energy-based Models and their Partition Function. CoRR Michael E. Sander, Vincent Roulet, Tianlin Liu, Mathieu Blondel
2025	—	`conf`	KiRa: A Unified Memory Architecture for Efficient Post-quantum Cryptographic Algorithms. ICA3PP (1) Zhiming Hu, Tianlin Liu, Xinhua Wang, Sizhao Li, Xiaojing Fu, Qiuliang Li
2025	J	`jnl`	LoFi: Neural Local Fields for Scalable Image Reconstruction. IEEE Trans. Computational Imaging AmirEhsan Khorashadizadeh, Tobías I. Liaudat, Tianlin Liu, Jason D. McEwen, Ivan Dokmanic
2025	A*	`conf`	Loss Functions and Operators Generated by f-Divergences. ICML Vincent Roulet, Tianlin Liu, Nino Vieillard, Michael Eli Sander, Mathieu Blondel
2025	J	`jnl`	Loss Functions and Operators Generated by f-Divergences. CoRR Vincent Roulet, Tianlin Liu, Nino Vieillard, Michael E. Sander, Mathieu Blondel
2025	A	`conf`	Online Iterative Learning with Forward Simulation for Sub-minimum End-effector Displacement Positioning. IROS Weiming Qu, Tianlin Liu, Jiawei Du, Xihong Wu, Dingsheng Luo
2024	J	`jnl`	Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise. CoRR Enea Monzio Compagnoni, Tianlin Liu, Rustem Islamov, Frank Norbert Proske, Antonio Orvieto, Aurélien Lucchi
2024	A*	`conf`	Decoding-time Realignment of Language Models. ICML Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares-López, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
2024	J	`jnl`	Decoding-time Realignment of Language Models. CoRR Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel
2024	J	`jnl`	Direct Language Model Alignment from Online AI Feedback. CoRR Shangmin Guo, Biao Zhang, Tianlin Liu, Tianqi Liu, Misha Khalman, Felipe Llinares, Alexandre Ramé, Thomas Mesnard, Yao Zhao, Bilal Piot, Johan Ferret, Mathieu Blondel
2024	J	`jnl`	GLIMPSE: Generalized Local Imaging with MLPs. CoRR AmirEhsan Khorashadizadeh, Valentin Debarnot, Tianlin Liu, Ivan Dokmanic
2024	A*	`conf`	LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. EMNLP 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
2024	J	`jnl`	LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Ranran Haoran 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
2024	J	`jnl`	LoFi: Scalable Local Image Reconstruction with Implicit Neural Representation. CoRR AmirEhsan Khorashadizadeh, Tobías I. Liaudat, Tianlin Liu, Jason D. McEwen, Ivan Dokmanic
2024	J	`jnl`	Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning. CoRR 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
2024	J	`jnl`	Routers in Vision Mixture of Experts: An Empirical Study. CoRR Tianlin Liu, Mathieu Blondel, Carlos Riquelme, Joan Puigcerver
2024	J	`jnl`	Routers in Vision Mixture of Experts: An Empirical Study. Trans. Mach. Learn. Res. Tianlin Liu, Mathieu Blondel, Carlos Riquelme Ruiz, Joan Puigcerver
2024	J	`jnl`	SeisLM: a Foundation Model for Seismic Waveforms. CoRR Tianlin Liu, Jannes Münchmeyer, Laura Laurenti, Chris Marone, Maarten V. de Hoop, Ivan Dokmanic
2024	A	`conf`	State Estimation Transformers for Agile Legged Locomotion. IROS Chen Yu, Yichu Yang, Tianlin Liu, Yangwei You, Mingliang Zhou, Diyun Xiang
2024	J	`jnl`	State Estimation Transformers for Agile Legged Locomotion. CoRR Chen Yu, Yichu Yang, Tianlin Liu, Yangwei You, Mingliang Zhou, Diyun Xiang
2024	J	`jnl`	WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs. Trans. Mach. Learn. Res. Tianlin Liu, Jose Antonio Lara Benitez, Florian Faucher, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic
2023	J	`jnl`	CEMSSL: A Unified Framework for Multi-Solution Inverse Kinematic Model Learning of Robot Arms with High-Precision Manipulation. CoRR Weiming Qu, Tianlin Liu, Dingsheng Luo
2023	—	`conf`	Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematic Model Learning. ICDL Weiming Qu, Tianlin Liu, Xihong Wu, Dingsheng Luo
2023	J	`jnl`	Embodied Self-Supervised Learning (EMSSL) with Sampling and Training Coordination for Robot Arm Inverse Kinematics Model Learning. CoRR Weiming Qu, Tianlin Liu, Xihong Wu, Dingsheng Luo
2023	J	`jnl`	High-Precise Robot Arm Manipulation based on Online Iterative Learning and Forward Simulation with Positioning Error Below End-Effector Physical Minimum Displacement. CoRR Weiming Qu, Tianlin Liu, Dingsheng Luo
2023	J	`jnl`	Motion-Driven Spatial and Temporal Adaptive High-Resolution Graph Convolutional Networks for Skeleton-Based Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Zengxi Huang, Yusong Qin, Xiaobing Lin, Tianlin Liu, Zhenhua Feng, Yiguang Liu
2023	A	`conf`	Run and Catch: Dynamic Object-Catching of Quadrupedal Robots. IROS Yangwei You, Tianlin Liu, Xiaowei Liang, Zhe Xu, Mingliang Zhou, Zhibin Li, Shiwu Zhang
2023	J	`jnl`	Scaling-up medical vision-and-language representation learning with federated learning. Eng. Appl. Artif. Intell. Siyu Lu, Zheng Liu, Tianlin Liu, Wangchunshu Zhou
2023	A*	`conf`	Sparsity-Constrained Optimal Transport. ICLR Tianlin Liu, Joan Puigcerver, Mathieu Blondel
2022	J	`jnl`	Learning Multiscale Convolutional Dictionaries for Image Reconstruction. IEEE Trans. Computational Imaging Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic
2022	J	`jnl`	Sparsity-Constrained Optimal Transport. CoRR Tianlin Liu, Joan Puigcerver, Mathieu Blondel
2022	A*	`conf`	Universal Approximation Under Constraints is Possible with Transformers. ICLR Anastasis Kratsios, Behnoosh Zamanlooy, Tianlin Liu, Ivan Dokmanic
2021	—	`conf`	Approaching Sound Object with Sensorimotor Coordination when Sensors Partially Damaged. ICDL Shuai Fang, Yaoyao Wei, Weikai Lin, Jianan Zhang, Tianlin Liu, Dingsheng Luo
2021	J	`jnl`	Panoramic Video Quality Assessment Based on Non-Local Spherical CNN. IEEE Trans. Multim. Jiachen Yang, Tianlin Liu, Bin Jiang, Wen Lu, Qinggang Meng
2021	J	`jnl`	Universal Approximation Under Constraints is Possible with Transformers. CoRR Anastasis Kratsios, Behnoosh Zamanlooy, Tianlin Liu, Ivan Dokmanic
2020	A*	`conf`	Causally Denoise Word Embeddings Using Half-Sibling Regression. AAAI Zekun Yang, Tianlin Liu
2020	A*	`conf`	Finding trainable sparse networks through Neural Tangent Transfer. ICML Tianlin Liu, Friedemann Zenke
2020	J	`jnl`	Finding trainable sparse networks through Neural Tangent Transfer. CoRR Tianlin Liu, Friedemann Zenke
2020	J	`jnl`	Interpreting U-Nets via Task-Driven Multiscale Dictionary Learning. CoRR Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanic
2019	C	`conf`	A Hierarchical Model for StarCraft II Mini-Game. ICMLA Tianlin Liu, Xihong Wu, Dingsheng Luo
2019	—	`conf`	Action Selection Based on Prediction for Robot Planning. ICDL-EPIROB Mengxi Nie, Dingsheng Luo, Tianlin Liu, Xihong Wu
2019	J	`jnl`	Causally Denoise Word Embeddings Using Half-Sibling Regression. CoRR Zekun Yang, Tianlin Liu
2019	—	`conf`	Continual Learning for Sentence Representations Using Conceptors. NAACL-HLT (1) Tianlin Liu, Lyle H. Ungar, João Sedoc
2019	J	`jnl`	Continual Learning for Sentence Representations Using Conceptors. CoRR Tianlin Liu, Lyle H. Ungar, João Sedoc
2019	J	`jnl`	Harnessing Slow Dynamics in Neuromorphic Computation. CoRR Tianlin Liu
2019	—	`conf`	Reservoir Transfer on Analog Neuromorphic Hardware. NER Xu He, Tianlin Liu, Fatemeh Hadaeghi, Herbert Jaeger
2019	A*	`conf`	Unsupervised Post-Processing of Word Vectors via Conceptor Negation. AAAI Tianlin Liu, Lyle H. Ungar, João Sedoc
2018	J	`jnl`	3D Panoramic Virtual Reality Video Quality Assessment Based on 3D Convolutional Neural Networks. IEEE Access Jiachen Yang, Tianlin Liu, Bin Jiang, Houbing Song, Wen Lu
2018	J	`jnl`	A Consistent Method for Learning OOMs from Asymptotically Stationary Time Series Data Containing Missing Values. CoRR Tianlin Liu
2018	J	`jnl`	Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors. CoRR Tianlin Liu, João Sedoc, Lyle H. Ungar
2018	J	`jnl`	Estimating Gradual-Emotional Behavior in One-Minute Videos with ESNs. CoRR Tianlin Liu, Arvid Kappas
2018	J	`jnl`	Fast Binary Compressive Sensing via 𝓁 CoRR Tianlin Liu, Dae Gwan Lee
2018	—	`conf`	Predicting Engagement Breakdown in HRI Using Thin-Slices of Facial Expressions. AAAI Workshops Tianlin Liu, Arvid Kappas
2018	—	`conf`	Robot Learning to Play Drums with an Open-Ended Internal Model. ROBIO Tianlin Liu, Jianan Zhang, Xingfang Wu, Xihong Wu, Dingsheng Luo
2018	C	`conf`	Self-developing Proprioception-Based Robot Internal Models. ICIS Tao Zhang, Fan Hu, Yian Deng, Mengxi Nie, Tianlin Liu, Xihong Wu, Dingsheng Luo
2018	J	`jnl`	Unsupervised Post-processing of Word Vectors via Conceptor Negation. CoRR Tianlin Liu, Lyle H. Ungar, João Sedoc
2017	—	`conf`	Developing Robot Drumming Skill with Listening-Playing Loop. ICSI (2) Xingfang Wu, Tianlin Liu, Yian Deng, Xihong Wu, Dingsheng Luo
2017	—	`conf`	Learning to chase a ball efficiently and smoothly for a wheeled robot. M2VIP Yaoyao Wei, Tianlin Liu, Yian Deng, Xihong Wu, Dingsheng Luo
2008	—	`conf`	Knowledge Reduction in Incomplete and Fuzzy Objective Information Systems. CIS (2) Tianlin Liu, Zhigang Zhang, Liu Xuejuan