@inproceedings{7402, abstract = {Graph planning gives rise to fundamental algorithmic questions such as shortest path, traveling salesman problem, etc. A classical problem in discrete planning is to consider a weighted graph and construct a path that maximizes the sum of weights for a given time horizon T. However, in many scenarios, the time horizon is not fixed, but the stopping time is chosen according to some distribution such that the expected stopping time is T. If the stopping time distribution is not known, then to ensure robustness, the distribution is chosen by an adversary, to represent the worst-case scenario. A stationary plan for every vertex always chooses the same outgoing edge. For fixed horizon or fixed stopping-time distribution, stationary plans are not sufficient for optimality. Quite surprisingly we show that when an adversary chooses the stopping-time distribution with expected stopping time T, then stationary plans are sufficient. While computing optimal stationary plans for fixed horizon is NP-complete, we show that computing optimal stationary plans under adversarial stopping-time distribution can be achieved in polynomial time. Consequently, our polynomial-time algorithm for adversarial stopping time also computes an optimal plan among all possible plans.}, author = {Chatterjee, Krishnendu and Doyen, Laurent}, booktitle = {34th Annual ACM/IEEE Symposium on Logic in Computer Science}, isbn = {9781728136080}, location = {Vancouver, BC, Canada}, pages = {1--13}, publisher = {IEEE}, title = {{Graph planning with expected finite horizon}}, doi = {10.1109/lics.2019.8785706}, year = {2019}, } @article{7451, abstract = {We prove that the observable telegraph signal accompanying the bistability in the photon-blockade-breakdown regime of the driven and lossy Jaynes–Cummings model is the finite-size precursor of what in the thermodynamic limit is a genuine first-order phase transition. We construct a finite-size scaling of the system parameters to a well-defined thermodynamic limit, in which the system remains the same microscopic system, but the telegraph signal becomes macroscopic both in its timescale and intensity. The existence of such a finite-size scaling completes and justifies the classification of the photon-blockade-breakdown effect as a first-order dissipative quantum phase transition.}, author = {Vukics, A. and Dombi, A. and Fink, Johannes M and Domokos, P.}, issn = {2521-327X}, journal = {Quantum}, publisher = {Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften}, title = {{Finite-size scaling of the photon-blockade breakdown dissipative quantum phase transition}}, doi = {10.22331/q-2019-06-03-150}, volume = {3}, year = {2019}, } @inproceedings{7468, abstract = {We present a new proximal bundle method for Maximum-A-Posteriori (MAP) inference in structured energy minimization problems. The method optimizes a Lagrangean relaxation of the original energy minimization problem using a multi plane block-coordinate Frank-Wolfe method that takes advantage of the specific structure of the Lagrangean decomposition. We show empirically that our method outperforms state-of-the-art Lagrangean decomposition based algorithms on some challenging Markov Random Field, multi-label discrete tomography and graph matching problems.}, author = {Swoboda, Paul and Kolmogorov, Vladimir}, booktitle = {Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition}, isbn = {9781728132938}, issn = {10636919}, location = {Long Beach, CA, United States}, publisher = {IEEE}, title = {{Map inference via block-coordinate Frank-Wolfe algorithm}}, doi = {10.1109/CVPR.2019.01140}, volume = {2019-June}, year = {2019}, } @article{7415, author = {Morandell, Jasmin and Nicolas, Armel and Schwarz, Lena A and Novarino, Gaia}, issn = {0924-977X}, journal = {European Neuropsychopharmacology}, number = {Supplement 6}, pages = {S11--S12}, publisher = {Elsevier}, title = {{S.16.05 Illuminating the role of the e3 ubiquitin ligase cullin3 in brain development and autism}}, doi = {10.1016/j.euroneuro.2019.09.040}, volume = {29}, year = {2019}, } @article{7414, author = {Knaus, Lisa and Tarlungeanu, Dora-Clara and Novarino, Gaia}, issn = {0924-977X}, journal = {European Neuropsychopharmacology}, number = {Supplement 6}, pages = {S11}, publisher = {Elsevier}, title = {{S.16.03 A homozygous missense mutation in SLC7A5 leads to autism spectrum disorder and microcephaly}}, doi = {10.1016/j.euroneuro.2019.09.039}, volume = {29}, year = {2019}, }