| Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay A Melnikov, A Murugan, X Zhang, T Tesileanu, L Wang, P Rogov, S Feizi, ... Nature biotechnology 30 (3), 271-277, 2012 | 608 | 2012 |
| Superconductors from superstrings SS Gubser, CP Herzog, SS Pufu, T Tesileanu Physical review letters 103 (14), 141601, 2009 | 290 | 2009 |
| Multimatrix models and tri-Sasaki Einstein spaces CP Herzog, IR Klebanov, SS Pufu, T Tesileanu Physical Review D 83 (4), 046001, 2011 | 271 | 2011 |
| Discovery of underground argon with low level of radioactive 39Ar and possible applications to WIMP dark matter detectors D Acosta-Kane, R Acciarri, O Amaize, M Antonello, B Baibussinov, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2008 | 100 | 2008 |
| Protein sectors: statistical coupling analysis versus conservation T Teşileanu, LJ Colwell, S Leibler PLoS computational biology 11 (2), e1004091, 2015 | 66 | 2015 |
| Membranes with topological charge and AdS 4/CFT 3 correspondence IR Klebanov, SS Pufu, T Tesileanu Physical Review D 81 (12), 125011, 2010 | 51 | 2010 |
| Emergent quantum near-criticality from baryonic black branes CP Herzog, IR Klebanov, SS Pufu, T Tesileanu Journal of High Energy Physics 2010 (3), 1-29, 2010 | 43 | 2010 |
| Competition of languages and their hamming distance T Teşileanu, H Meyer-Ortmanns International Journal of Modern Physics C 17 (02), 259-278, 2006 | 38 | 2006 |
| Dynamics of adaptive immunity against phage in bacterial populations S Bradde, M Vucelja, T Teşileanu, V Balasubramanian PLoS computational biology 13 (4), e1005486, 2017 | 24 | 2017 |
| CMB statistical anisotropy, multipole vectors, and the influence of the dipole RC Helling, P Schupp, T Tesileanu Physical Review D 74 (6), 063004, 2006 | 22 | 2006 |
| Adaptation of olfactory receptor abundances for efficient coding T Teşileanu, S Cocco, R Monasson, V Balasubramanian Elife 8, e39279, 2019 | 20 | 2019 |
| Rules and mechanisms for efficient two-stage learning in neural circuits T Teşileanu, B Ölveczky, V Balasubramanian Elife 6, e20944, 2017 | 19 | 2017 |
| Efficient coding of natural scene statistics predicts discrimination thresholds for grayscale textures T Tesileanu, MM Conte, JJ Briguglio, AM Hermundstad, JD Victor, ... ELife 9, e54347, 2020 | 7 | 2020 |
| Matching tutor to student: rules and mechanisms for efficient two-stage learning in neural circuits T Tesileanu, B Olveczky, V Balasubramanian arXiv preprint arXiv:1608.08040, 2016 | 1 | 2016 |
| Charged black holes and the AdS/CFT correspondence T Tesileanu | 1 | 2011 |
| Neural circuits for dynamics-based segmentation of time series T Teşileanu, S Golkar, S Nasiri, AM Sengupta, DB Chklovskii Neural Computation 34 (4), 891-938, 2022 | | 2022 |
| Biological learning of local motion detectors T Tesileanu, A Genkin, D Chklovskii APS March Meeting Abstracts 2021, X12. 006, 2021 | | 2021 |
| System identification in the brain: inferring ARMA dynamics from sensory data T Tesileanu, S Nasiri, A Sengupta, D Chklovskii Bulletin of the American Physical Society 65, 2020 | | 2020 |
| Biologically-plausible neural models for time-series clustering T Tesileanu, D Chklovskii, A Sengupta APS March Meeting Abstracts 2019, R67. 007, 2019 | | 2019 |
| Salience of grayscale textures from natural statistics T Tesileanu, J Briguglio, A Hermundstad, M Conte, J Victor, ... APS March Meeting Abstracts 2018, V06. 006, 2018 | | 2018 |
