| 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 | 754 | 2012 |
| Superconductors from superstrings SS Gubser, CP Herzog, SS Pufu, T Tesileanu Physical review letters 103 (14), 141601, 2009 | 299 | 2009 |
| Multimatrix models and tri-Sasaki Einstein spaces CP Herzog, IR Klebanov, SS Pufu, T Tesileanu Physical Review D—Particles, Fields, Gravitation, and Cosmology 83 (4), 046001, 2011 | 289 | 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 | 108 | 2008 |
| Protein sectors: statistical coupling analysis versus conservation T Teşileanu, LJ Colwell, S Leibler PLoS computational biology 11 (2), e1004091, 2015 | 84 | 2015 |
| Membranes with topological charge and correspondence IR Klebanov, SS Pufu, T Tesileanu Physical Review D—Particles, Fields, Gravitation, and Cosmology 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 | 44 | 2010 |
| Competition of languages and their hamming distance T Teşileanu, H Meyer-Ortmanns International Journal of Modern Physics C 17 (02), 259-278, 2006 | 41 | 2006 |
| Adaptation of olfactory receptor abundances for efficient coding T Teşileanu, S Cocco, R Monasson, V Balasubramanian Elife 8, e39279, 2019 | 37 | 2019 |
| Dynamics of adaptive immunity against phage in bacterial populations S Bradde, M Vucelja, T Teşileanu, V Balasubramanian PLoS computational biology 13 (4), e1005486, 2017 | 34 | 2017 |
| Rules and mechanisms for efficient two-stage learning in neural circuits T Teşileanu, B Ölveczky, V Balasubramanian Elife 6, e20944, 2017 | 33 | 2017 |
| CMB statistical anisotropy, multipole vectors, and the influence of the dipole RC Helling, P Schupp, T Tesileanu Physical Review D—Particles, Fields, Gravitation, and Cosmology 74 (6), 063004, 2006 | 20 | 2006 |
| 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 | 19 | 2020 |
| xval: A continuous number encoding for large language models S Golkar, M Pettee, M Eickenberg, A Bietti, M Cranmer, G Krawezik, ... arXiv preprint arXiv:2310.02989, 2023 | 15 | 2023 |
| Multiple physics pretraining for physical surrogate models M McCabe, BRS Blancard, LH Parker, R Ohana, M Cranmer, A Bietti, ... arXiv preprint arXiv:2310.02994, 2023 | 15 | 2023 |
| Constrained predictive coding as a biologically plausible model of the cortical hierarchy S Golkar, T Tesileanu, Y Bahroun, A Sengupta, D Chklovskii Advances in Neural Information Processing Systems 35, 14155-14169, 2022 | 12 | 2022 |
| Astroclip: Cross-modal pre-training for astronomical foundation models F Lanusse, L Parker, S Golkar, M Cranmer, A Bietti, M Eickenberg, ... arXiv preprint arXiv:2310.03024, 2023 | 7 | 2023 |
| An online algorithm for contrastive principal component analysis S Golkar, D Lipshutz, T Tesileanu, DB Chklovskii ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| 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 | 3 | 2022 |
| Biological Learning of Irreducible Representations of Commuting Transformations A Genkin, D Lipshutz, S Golkar, T Tesileanu, D Chklovskii Advances in Neural Information Processing Systems, 2022 | 3 | 2022 |
Silviu S. PufuPrinceton UniversityVerified email at princeton.edu
