| 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 | 4 | 2018 |
| Binary Compressive Sensing via Smoothed Gradient Descent T Liu, DG Lee arXiv preprint arXiv:1801.09937, 2018 | 4 | 2018 |
| Unsupervised post-processing of word vectors via conceptor negation T Liu, L Ungar, J Sedoc Proceedings of the AAAI Conference on Artificial Intelligence 33, 6778-6785, 2019 | 3 | 2019 |
| Reservoir transfer on analog neuromorphic hardware X He, T Liu, F Hadaeghi, H Jaeger 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER …, 2019 | 3 | 2019 |
| Continual Learning for Sentence Representations Using Conceptors T Liu, L Ungar, J Sedoc arXiv preprint arXiv:1904.09187, 2019 | 2 | 2019 |
| Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors T Liu, J Sedoc, L Ungar arXiv preprint arXiv:1811.11002, 2018 | 2 | 2018 |
| Harnessing Slow Dynamics in Neuromorphic Computation T Liu arXiv preprint arXiv:1905.12116, 2019 | | 2019 |
| A Consistent Method for Learning OOMs from Asymptotically Stationary Time Series Data Containing Missing Values T Liu arXiv preprint arXiv:1808.03873, 2018 | | 2018 |
| Estimating Gradual-Emotional Behavior in One-Minute Videos with ESNs T Liu, A Kappas arXiv preprint arXiv:1805.08690, 2018 | | 2018 |
Lyle UngarUniversity of PennsylvaniaVerified email at cis.upenn.edu