Erdös, L. (2012). Lecture notes on quantum Brownian motion (Vol. 95, pp. 3–98). Presented at the Les Houches Summer School 2010, Oxford University Press.

Chatterjee, K., Joglekar, M., &; Shah, N. (2012). Average case analysis of the classical algorithm for Markov decision processes with Büchi objectives (Vol. 18, pp. 461–473). Presented at the FSTTCS: Foundations of Software Technology and Theoretical Computer Science, Hyderabad, India: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.FSTTCS.2012.461 

Chatterjee, K., Randour, M., &; Raskin, J.-F. (2012). Strategy synthesis for multi-dimensional quantitative objectives. In M. Koutny &; I. Ulidowski (Eds.), CONCUR 2012 - Concurrency Theory (Vol. 7454, pp. 115–131). Berlin, Heidelberg: Springer.https://doi.org/10.1007/978-3-642-32940-1_10 

Erdös, L., Yau, H., &; Yin, J. (2012). Rigidity of eigenvalues of generalized Wigner matrices. Advances in Mathematics. Academic Press.https://doi.org/10.1016/j.aim.2011.12.010 

Erdös, L., Schlein, B., Yau, H., &; Yin, J. (2012). The local relaxation flow approach to universality of the local statistics for random matrices. Annales de l’institut Henri Poincare (B) Probability and Statistics. Institute of Mathematical Statistics.https://doi.org/10.1214/10-AIHP388 

Erdös, L., Yau, H., &; Yin, J. (2012). Bulk universality for generalized Wigner matrices. Probability Theory and Related Fields. Springer.https://doi.org/10.1007/s00440-011-0390-3 

Erdös, L., &; Hasler, D. (2012). Wegner estimate and Anderson localization for random magnetic fields. Communications in Mathematical Physics. Springer.https://doi.org/10.1007/s00220-011-1373-z 

Erdös, L., &; Yau, H. (2012). Universality of local spectral statistics of random matrices. Bulletin of the American Mathematical Society. American Mathematical Society.https://doi.org/10.1090/S0273-0979-2012-01372-1 

Erdös, L., Fournais, S., &; Solovej, J. (2012). Relativistic Scott correction in self-generated magnetic fields. Journal of Mathematical Physics. American Institute of Physics.https://doi.org/10.1063/1.3697417 

Erdös, L., Fournais, S., &; Solovej, J. (2012). Second order semiclassics with self generated magnetic fields. Annales Henri Poincare. Birkhäuser.https://doi.org/10.1007/s00023-011-0150-z 

Erdös, L., Knowles, A., Yau, H., &; Yin, J. (2012). Spectral statistics of Erds-Rényi graphs II: Eigenvalue spacing and the extreme eigenvalues. Communications in Mathematical Physics. Springer.https://doi.org/10.1007/s00220-012-1527-7 

Erdös, L., Fournais, S., &; Solovej, J. (2012). Scott correction for large atoms and molecules in a self-generated magnetic field. Communications in Mathematical Physics. Springer.https://doi.org/10.1007/s00220-012-1468-1 

Erdös, L., &; Yau, H. (2012). A comment on the Wigner-Dyson-Mehta bulk universality conjecture for Wigner matrices. Electronic Journal of Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/EJP.v17-1779 

Erdös, L., &; Hasler, D. (2012). Anderson localization at band edges for random magnetic fields. Journal of Statistical Physics. Springer.https://doi.org/10.1007/s10955-012-0445-6 

Bourgade, P., Erdös, L., &; Yau, H. (2012). Bulk universality of general ;2-ensembles with non-convex potential. Journal of Mathematical Physics. American Institute of Physics.https://doi.org/10.1063/1.4751478 

Erdös, L., &; Hasler, D. (2012). Wegner estimate for random magnetic Laplacian onhttps://doi.org/10.1007/s00023-012-0177-9__2. Annales Henri Poincare. Birkhäuser.https://doi.org/10.1007/s00023-012-0177-9 

Lapp, T., Rohloff, M., Vollmer, J., &; Hof, B. (2012). Particle tracking for polydisperse sedimenting droplets in phase separation. Experiments in Fluids. Springer.https://doi.org/10.1007/s00348-011-1243-7 

De Lózar, A., Mellibovsky, F., Avila, M., &; Hof, B. (2012). Edge state in pipe flow experiments. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.108.214502 

Blaschke, J., Lapp, T., Hof, B., &; Vollmer, J. (2012). Breath figures: Nucleation, growth, coalescence, and the size distribution of droplets. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.109.068701 

Lampert, C. (2012). Dynamic pruning of factor graphs for maximum marginal prediction (Vol. 1, pp. 82–90). Presented at the NIPS: Neural Information Processing Systems, Lake Tahoe, NV, United States: Neural Information Processing Systems.