Tianlin Liu
Tianlin Liu
University of Basel, Switzerland
Verified email at - Homepage
Cited by
Cited by
Continual learning for sentence representations using conceptors
T Liu, L Ungar, J Sedoc
NAACL 2019 1, 3274--3279, 2019
Direct language model alignment from online AI feedback
S Guo, B Zhang, T Liu, T Liu, M Khalman, F Llinares, A Rame, T Mesnard, ...
arXiv preprint arXiv:2402.04792, 2024
Finding trainable sparse networks through Neural Tangent Transfer
T Liu, F Zenke
International Conference on Machine Learning (ICML), 2020
Sparsity-Constrained Optimal Transport
T Liu, J Puigcerver, M Blondel
International Conference on Learning Representations (ICLR), 2023
Learning Multiscale Convolutional Dictionaries for Image Reconstruction
T Liu, A Chaman, D Belius, I Dokmanić
IEEE Transactions on Computational Imaging, 2022
Universal Approximation Under Constraints is Possible with Transformers
A Kratsios, B Zamanlooy, T Liu, I Dokmanić
International Conference on Learning Representations (ICLR), 2022
Reservoir transfer on analog neuromorphic hardware
X He, T Liu, F Hadaeghi, H Jaeger
International IEEE EMBS Conference on Neural Engineering (NER), 1234-1238, 2019
Unsupervised post-processing of word vectors via conceptor negation
T Liu, L Ungar, J Sedoc
AAAI 2019 33, 6778-6785, 2019
Predicting engagement breakdown in HRI using thin-slices of facial expressions
T Liu, A Kappas
Workshops at the thirty-second AAAI conference on artificial intelligence, 2018
Correcting the common discourse bias in linear representation of sentences using conceptors
T Liu, J Sedoc, L Ungar
arXiv preprint arXiv:1811.11002, 2018
Causally denoise word embeddings using Half-Sibling Regression
Z Yang, T Liu
AAAI 2020, 2020
Decoding-time Realignment of Language Models
T Liu, S Guo, L Bianco, D Calandriello, Q Berthet, F Llinares, J Hoffmann, ...
International Conference on Machine Learning (ICML), 2024
Fast binary compressive sensing via l0 gradient descent
T Liu, DG Lee
arXiv preprint arXiv:1801.09937, 2018
LLMs assist NLP researchers: Critique paper (meta-) reviewing
J Du, Y Wang, W Zhao, Z Deng, S Liu, R Lou, HP Zou, PN Venkit, ...
arXiv preprint arXiv:2406.16253, 2024
Routers in Vision Mixture of Experts: An Empirical Study
T Liu, M Blondel, C Riquelme, J Puigcerver
Transactions on Machine Learning Research (TMLR), 2024
Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning
S Huang, Q Gallouédec, F Felten, A Raffin, RFJ Dossa, Y Zhao, ...
arXiv preprint arXiv:2402.03046, 2024
The N Implementation Details of RLHF with PPO
S Huang, T Liu, L Von Werra
The Third Blogpost Track at ICLR 2024, 2024
Harnessing slow dynamics in neuromorphic computation
T Liu
Master's thesis, Jacobs University Bremen, 2019
WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs
T Liu, JAL Benitez, A Khorashadizadeh, F Faucher, MV de Hoop, ...
Transactions on Machine Learning Research (TMLR), 2024
GLIMPSE: Generalized Local Imaging with MLPs
AE Khorashadizadeh, V Debarnot, T Liu, I Dokmanić
arXiv preprint arXiv:2401.00816, 2024
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