Rubio, Maía, Yugo Fukazawa, Naomi Kamasawa, Cheryl Clarkson, Elek Molnár, and Ryuichi Shigemoto. “Target- and Input-Dependent Organization of AMPA and NMDA Receptors in Synaptic Connections of the Cochlear Nucleus.”https://doi.org/10.1002/cne.23654__Journal of Comparative Neurology. Wiley-Blackwell, 2014.https://doi.org/10.1002/cne.23654 .
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DOI: 10.1002/cne.23654

Skouras, Mélina, Bernhard Thomaszewski, Peter Kaufmann, Akash Garg, Bernd Bickel, Eitan Grinspun, and Markus Gross. “Designing Inflatable Structures,”https://doi.org/10.1145/2601097.2601166__Vol. 33. ACM, 2014.https://doi.org/10.1145/2601097.2601166 .
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BacHer, Moritz, Emily Whiting, Bernd Bickel, and Olga Sorkine Hornung. “Spin-It: Optimizing Moment of Inertia for Spinnable Objects,”https://doi.org/10.1145/2601097.2601157__Vol. 33. ACM, 2014.https://doi.org/10.1145/2601097.2601157 .
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Bermano, Amit, Derek Bradley, Thabo Beeler, Fabio Zund, Derek Nowrouzezahrai, Ilya Baran, Olga Sorkine Hornung, et al. “Facial Performance Enhancement Using Dynamic Shape Space Analysis.”https://doi.org/10.1145/2546276__ACM Transactions on Graphics. ACM, 2014.https://doi.org/10.1145/2546276 .
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Carlen, Eric, and Jan Maas. “An Analog of the 2-Wasserstein Metric in Non-Commutative Probability under Which the Fermionic Fokker-Planck Equation Is Gradient Flow for the Entropy.”https://doi.org/10.1007/s00220-014-2124-8__Communications in Mathematical Physics. Springer, 2014.https://doi.org/10.1007/s00220-014-2124-8 .
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Hairer, Martin, Jan Maas, and Hendrik Weber. “Approximating Rough Stochastic PDEs.”https://doi.org/10.1002/cpa.21495__Communications on Pure and Applied Mathematics. Wiley-Blackwell, 2014.https://doi.org/10.1002/cpa.21495 .
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Erbar, Matthias, and Jan Maas. “Gradient Flow Structures for Discrete Porous Medium Equations.”https://doi.org/10.3934/dcds.2014.34.1355Â  __Discrete and Continuous Dynamical Systems- Series A. Southwest Missouri State University, 2014.https://doi.org/10.3934/dcds.2014.34.1355Â   .
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Otterbach, Johannes, and Mikhail Lemeshko. “Dissipative Preparation of Spatial Order in Rydberg-Dressed Bose-Einstein Condensates.”https://doi.org/10.1103/PhysRevLett.113.070401__Physical Review Letters. American Physical Society, 2014.https://doi.org/10.1103/PhysRevLett.113.070401 .
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Bauer, Ulrich, and Michael Lesnick. “Induced Matchings of Barcodes and the Algebraic Stability of Persistence.”https://doi.org/10.1145/2582112.2582168__In Proceedings of the Annual Symposium on Computational Geometry, 355–64. ACM, 2014.https://doi.org/10.1145/2582112.2582168 .
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Matousek, Jií, and Uli Wagner. “On Gromov’s Method of Selecting Heavily Covered Points.”https://doi.org/10.1007/s00454-014-9584-7__Discrete &; Computational Geometry. Springer, 2014.https://doi.org/10.1007/s00454-014-9584-7 .
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Bauer, Ulrich, Xiaoyin Ge, and Yusu Wang. “Measuring Distance between Reeb Graphs.”https://doi.org/10.1145/2582112.2582169__In Proceedings of the Annual Symposium on Computational Geometry, 464–73. ACM, 2014.https://doi.org/10.1145/2582112.2582169 .
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Bauer, Ulrich, and Herbert Edelsbrunner. “The Morse Theory of cech and Delaunay Filtrations.”https://doi.org/10.1145/2582112.2582167__In Proceedings of the Annual Symposium on Computational Geometry, 484–90. ACM, 2014.https://doi.org/10.1145/2582112.2582167 .
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Majumdar, Ritankar, Michael K Sixt, and Carole Parent. “New Paradigms in the Establishment and Maintenance of Gradients during Directed Cell Migration.”https://doi.org/10.1016/j.ceb.2014.05.010__Current Opinion in Cell Biology. Elsevier, 2014.https://doi.org/10.1016/j.ceb.2014.05.010 .
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Morvant, Emilie. “Domain Adaptation of Weighted Majority Votes via Perturbed Variation-Based Self-Labeling.”https://doi.org/10.1016/j.patrec.2014.08.013__Pattern Recognition Letters. Elsevier, 2014.https://doi.org/10.1016/j.patrec.2014.08.013 .
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Chai, Xuejun, Gert Münzner, Shanting Zhao, Stefanie Tinnes, Janina Kowalski, Ute Häussler, Christina Young, Carola Haas, and Michael Frotscher. “Epilepsy-Induced Motility of Differentiated Neurons.”https://doi.org/10.1093/cercor/bht067__Cerebral Cortex. Oxford University Press, 2014.https://doi.org/10.1093/cercor/bht067 .
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Kelleher, Jerome, Alison Etheridge, and Nicholas H Barton. “Coalescent Simulation in Continuous Space: Algorithms for Large Neighbourhood Size.”https://doi.org/10.1016/j.tpb.2014.05.001__Theoretical Population Biology. Academic Press, 2014.https://doi.org/10.1016/j.tpb.2014.05.001 .
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Barton, Nicholas H, Sebastian Novak, and Tiago Paixao. “Diverse Forms of Selection in Evolution and Computer Science.”https://doi.org/10.1073/pnas.1410107111__PNAS. National Academy of Sciences, 2014.https://doi.org/10.1073/pnas.1410107111 .
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Kolesnikov, Alexander, Matthieu Guillaumin, Vittorio Ferrari, and Christoph Lampert. “Closed-Form Approximate CRF Training for Scalable Image Segmentation.”https://doi.org/10.1007/978-3-319-10578-9_36__In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars, 8691:550–65. Springer, 2014.https://doi.org/10.1007/978-3-319-10578-9_36 .
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Khamis, Sameh, and Christoph Lampert. “CoConut: Co-Classification with Output Space Regularization.” In Proceedings of the British Machine Vision Conference 2014. BMVA Press, 2014.
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Sydorov, Vladyslav, Mayu Sakurada, and Christoph Lampert. “Deep Fisher Kernels – End to End Learning of the Fisher Kernel GMM Parameters.”https://doi.org/10.1109/CVPR.2014.182__In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1402–9. IEEE, 2014.https://doi.org/10.1109/CVPR.2014.182 .
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