Tiberiu Tesileanu
Tiberiu Tesileanu
Flatiron Institute (CCN)
Verified email at - Homepage
Cited by
Cited by
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
Superconductors from superstrings
SS Gubser, CP Herzog, SS Pufu, T Tesileanu
Physical review letters 103 (14), 141601, 2009
Multimatrix models and tri-Sasaki Einstein spaces
CP Herzog, IR Klebanov, SS Pufu, T Tesileanu
Physical Review D 83 (4), 046001, 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
Protein sectors: statistical coupling analysis versus conservation
T Teşileanu, LJ Colwell, S Leibler
PLoS computational biology 11 (2), e1004091, 2015
Membranes with topological charge and AdS 4/CFT 3 correspondence
IR Klebanov, SS Pufu, T Tesileanu
Physical Review D 81 (12), 125011, 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
Competition of languages and their hamming distance
T Teşileanu, H Meyer-Ortmanns
International Journal of Modern Physics C 17 (02), 259-278, 2006
Adaptation of olfactory receptor abundances for efficient coding
T Teşileanu, S Cocco, R Monasson, V Balasubramanian
Elife 8, e39279, 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
Rules and mechanisms for efficient two-stage learning in neural circuits
T Teşileanu, B Ölveczky, V Balasubramanian
Elife 6, e20944, 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
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
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
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
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
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
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
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
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
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Articles 1–20