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2020 – today
- 2024
[c11]Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber:
On the hardness of learning under symmetries. ICLR 2024- [c10]Thien Le, Luana Ruiz, Stefanie Jegelka:
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs. ICLR 2024 - [i4]Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber:
On the hardness of learning under symmetries. CoRR abs/2401.01869 (2024) - 2023
- [c9]Jose Arturo Garcia-Hizuera, Natalia Paredes-Acuña, Thien Le, Benoit Auclair, Klara Tomaskovic, Nicolas Berberich, Gordon Cheng:
Damping TENS-Induced Essential Tremor Symptoms in Activities of Daily Living Using the TuMove Wrist Exoskeleton. ICORR 2023: 1-6 - [c8]Thien Le, Stefanie Jegelka:
Limits, approximation and size transferability for GNNs on sparse graphs via graphops. NeurIPS 2023 - [i3]Thien Le, Stefanie Jegelka:
Limits, approximation and size transferability for GNNs on sparse graphs via graphops. CoRR abs/2306.04495 (2023) - [i2]Thien Le, Luana Ruiz, Stefanie Jegelka:
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs. CoRR abs/2311.10610 (2023) - 2022
- [c7]Thien Le, Stefanie Jegelka:
Training invariances and the low-rank phenomenon: beyond linear networks. ICLR 2022 - [i1]Thien Le, Stefanie Jegelka:
Training invariances and the low-rank phenomenon: beyond linear networks. CoRR abs/2201.11968 (2022) - 2021
- [j4]Xilin Yu, Thien Le, Sarah A. Christensen, Erin K. Molloy
, Tandy J. Warnow:
Using Robinson-Foulds supertrees in divide-and-conquer phylogeny estimation. Algorithms Mol. Biol. 16(1): 12 (2021) - [j3]Frederic T. Stahl, Thien Le, Atta Badii, Mohamed Medhat Gaber:
A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams. Inf. 12(1): 24 (2021) - [j2]Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi Zhang, Satish Rao, Tandy J. Warnow:
Using Constrained-INC for Large-Scale Gene Tree and Species Tree Estimation. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 2-15 (2021) - 2020
- [c6]Xilin Yu, Thien Le, Sarah A. Christensen, Erin K. Molloy, Tandy J. Warnow:
Advancing Divide-And-Conquer Phylogeny Estimation Using Robinson-Foulds Supertrees. WABI 2020: 15:1-15:17
2010 – 2019
- 2019
- [c5]Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi (Richard) Zhang, Satish Rao, Tandy J. Warnow:
Using INC Within Divide-and-Conquer Phylogeny Estimation. AlCoB 2019: 167-178 - 2017
- [j1]Thien Le, Frederic T. Stahl, Mohamed Medhat Gaber, João Bártolo Gomes, Giuseppe Di Fatta:
On expressiveness and uncertainty awareness in rule-based classification for data streams. Neurocomputing 265: 127-141 (2017) - 2016
- [c4]Thien Le, Frederic T. Stahl, Chris Wrench, Mohamed Medhat Gaber:
A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements. ICMLA 2016: 935-938 - [c3]Manal Almutairi, Frederic T. Stahl, Mathew Jennings, Thien Le, Max Bramer:
Towards Expressive Modular Rule Induction for Numerical Attributes. SGAI Conf. 2016: 229-235 - [c2]Chris Wrench, Frederic T. Stahl, Thien Le, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck:
A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network. SGAI Conf. 2016: 309-323 - 2014
- [c1]Thien Le, Frederic T. Stahl, João Bártolo Gomes, Mohamed Medhat Gaber, Giuseppe Di Fatta:
Computationally Efficient Rule-Based Classification for Continuous Streaming Data. SGAI Conf. 2014: 21-34
Coauthor Index
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