Thien Le

According to our database, Thien Le authored at least 15 papers between 2014 and 2024.

Collaborative distances:

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

2024

A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs.

Thien Le, Luana Ruiz, Stefanie Jegelka

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the hardness of learning under symmetries.

Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Limits, approximation and size transferability for GNNs on sparse graphs via graphops.

Thien Le, Stefanie Jegelka

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Damping TENS-Induced Essential Tremor Symptoms in Activities of Daily Living Using the TuMove Wrist Exoskeleton.

Jose Arturo Garcia-Hizuera, Natalia Paredes-Acuña, Thien Le, Benoit Auclair, Klara Tomaskovic, Nicolas Berberich, Gordon Cheng

Proceedings of the International Conference on Rehabilitation Robotics, 2023

2022

Training invariances and the low-rank phenomenon: beyond linear networks.

Thien Le, Stefanie Jegelka

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Using Constrained-INC for Large-Scale Gene Tree and Species Tree Estimation.

Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi Zhang, Satish Rao, Tandy J. Warnow

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams.

Frederic T. Stahl, Thien Le, Atta Badii, Mohamed Medhat Gaber

Inf., 2021

Using Robinson-Foulds supertrees in divide-and-conquer phylogeny estimation.

Xilin Yu, Thien Le, Sarah A. Christensen, Erin K. Molloy, Tandy J. Warnow

Algorithms Mol. Biol., 2021

2020

Advancing Divide-And-Conquer Phylogeny Estimation Using Robinson-Foulds Supertrees.

Xilin Yu, Thien Le, Sarah A. Christensen, Erin K. Molloy, Tandy J. Warnow

Proceedings of the 20th International Workshop on Algorithms in Bioinformatics, 2020

2019

Using INC Within Divide-and-Conquer Phylogeny Estimation.

Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi (Richard) Zhang, Satish Rao, Tandy J. Warnow

Proceedings of the Algorithms for Computational Biology - 6th International Conference, 2019

2017

On expressiveness and uncertainty awareness in rule-based classification for data streams.

Thien Le, Frederic T. Stahl, Mohamed Medhat Gaber, João Bártolo Gomes, Giuseppe Di Fatta

Neurocomputing, 2017

2016

A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network.

Chris Wrench, Frederic T. Stahl, Thien Le, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck

Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

Towards Expressive Modular Rule Induction for Numerical Attributes.

Manal Almutairi, Frederic T. Stahl, Mathew Jennings, Thien Le, Max Bramer

Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements.

Thien Le, Frederic T. Stahl, Chris Wrench, Mohamed Medhat Gaber

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2014

Computationally Efficient Rule-Based Classification for Continuous Streaming Data.

Thien Le, Frederic T. Stahl, João Bártolo Gomes, Mohamed Medhat Gaber, Giuseppe Di Fatta

Proceedings of the Research and Development in Intelligent Systems XXXI, 2014