Thien Le

20 papers A* 4C 2Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Improving motor imagery decoding methods for an EEG-based mobile brain-computer interface in the context of the 2024 Cybathlon.
CoRR
Isabel Whiteley Tscherniak, Niels Christopher Thiemann, Ana McWhinnie-Fernández, Iustin Curcean, Leon Jokinen, Sadat Hodzic, Thomas E. Huber, Daniel Pavlov, Manuel Methasani, Pietro Marcolongo, Glenn Viktor Krafczyk, Oscar Osvaldo Soto Rivera, Thien Le, Flaminia Pallotti, Enrico A. Fazzi, neuroTUM e. V
2024 A* conf
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs.
ICLR
Thien Le, Luana Ruiz, Stefanie Jegelka
2024 A* conf
On the hardness of learning under symmetries.
ICLR
Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber
2024 J jnl
On the hardness of learning under symmetries.
CoRR
Bobak T. Kiani, Thien Le, Hannah Lawrence, Stefanie Jegelka, Melanie Weber
2023 J jnl
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs.
CoRR
Thien Le, Luana Ruiz, Stefanie Jegelka
2023 — conf
Damping TENS-Induced Essential Tremor Symptoms in Activities of Daily Living Using the TuMove Wrist Exoskeleton.
ICORR
Jose Arturo Garcia-Hizuera, Natalia Paredes-Acuña, Thien Le, Benoit Auclair, Klara Tomaskovic, Nicolas Berberich, Gordon Cheng
2023 A* conf
Limits, approximation and size transferability for GNNs on sparse graphs via graphops.
NeurIPS
Thien Le, Stefanie Jegelka
2023 J jnl
Limits, approximation and size transferability for GNNs on sparse graphs via graphops.
CoRR
Thien Le, Stefanie Jegelka
2022 A* conf
Training invariances and the low-rank phenomenon: beyond linear networks.
ICLR
Thien Le, Stefanie Jegelka
2022 J jnl
Training invariances and the low-rank phenomenon: beyond linear networks.
CoRR
Thien Le, Stefanie Jegelka
2021 J jnl
A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams.
Inf.
Frederic T. Stahl, Thien Le, Atta Badii, Mohamed Medhat Gaber
2021 J jnl
Using Constrained-INC for Large-Scale Gene Tree and Species Tree Estimation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi Zhang, Satish Rao, Tandy J. Warnow
2021 J jnl
Using Robinson-Foulds supertrees in divide-and-conquer phylogeny estimation.
Algorithms Mol. Biol.
Xilin Yu, Thien Le, Sarah A. Christensen, Erin K. Molloy, Tandy J. Warnow
2020 C conf
Advancing Divide-And-Conquer Phylogeny Estimation Using Robinson-Foulds Supertrees.
WABI
Xilin Yu, Thien Le, Sarah A. Christensen, Erin K. Molloy, Tandy J. Warnow
2019 — conf
Using INC Within Divide-and-Conquer Phylogeny Estimation.
AlCoB
Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi (Richard) Zhang, Satish Rao, Tandy J. Warnow
2017 J jnl
On expressiveness and uncertainty awareness in rule-based classification for data streams.
Neurocomputing
Thien Le, Frederic T. Stahl, Mohamed Medhat Gaber, João Bártolo Gomes, Giuseppe Di Fatta
2016 — conf
A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network.
SGAI Conf.
Chris Wrench, Frederic T. Stahl, Thien Le, Giuseppe Di Fatta, Vidhyalakshmi Karthikeyan, Detlef D. Nauck
2016 C conf
A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements.
ICMLA
Thien Le, Frederic T. Stahl, Chris Wrench, Mohamed Medhat Gaber
2016 — conf
Towards Expressive Modular Rule Induction for Numerical Attributes.
SGAI Conf.
Manal Almutairi, Frederic T. Stahl, Mathew Jennings, Thien Le, Max Bramer
2014 — conf
Computationally Efficient Rule-Based Classification for Continuous Streaming Data.
SGAI Conf.
Thien Le, Frederic T. Stahl, João Bártolo Gomes, Mohamed Medhat Gaber, Giuseppe Di Fatta