Distillation-based training for multi-exit architectures
M. Phuong, C. Lampert, in:, IEEE International Conference on Computer Vision, IEEE, 2019, pp. 1355–1364.

Social immunity
S. Cremer, M. Kutzer, in:, J. Choe (Ed.), Encyclopedia of Animal Behavior, 2nd ed., Elsevier, 2019, pp. 747–755.

The free energy of the two-dimensional dilute Bose gas. I. Lower bound
A. Deuchert, S. Mayer, R. Seiringer, ArXiv:1910.03372 (n.d.).

Powerset convolutional neural networks
C. Wendler, D.-A. Alistarh, M. Püschel, in:, Neural Information Processing Systems Foundation, 2019, pp. 927–938.

Activity-dependent regulation of the proapoptotic B-only gene egl-1 in a living neuron pair in Caenorhabditis elegans
J. Cohn, V. Dwivedi, G. Valperga, N. Zarate, M. de Bono, H.R. Horvitz, J.T. Pierce, : Genes, Genomes, Genetics 9 (2019) 3703–3714.

Expression of the amyloid-;2 peptide in a single pair of C. elegans sensory neurons modulates the associated behavioural response
T. Sinnige, P. Ciryam, S. Casford, C.M. Dobson, M. de Bono, M. Vendruscolo, PLOS ONE 14 (2019).

Penalization via global functionals of optimal-control problems for dissipative evolution
L. Portinale, U. Stefanelli, Advances in Mathematical Sciences and Applications 28 (2019) 425–447.

Action at a distance in transcriptional regulation
W. Bialek, T. Gregor, G. Tkadik, ArXiv:1912.08579 (n.d.).

ARCH-COM Category Report: Continuous and hybrid systems with nonlinear dynamics
F. Immler, M. Althoff, L. Benet, A. Chapoutot, X. Chen, M. Forets, L. Geretti, N. Kochdumper, D.P. Sanders, C. Schilling, in:, EPiC Series in Computing, EasyChair Publications, 2019, pp. 41–61.

A tight upper bound on mutual information
M. Hledik, T.R. Sokolowski, G. Tkadik, in:, IEEE Information Theory Workshop, ITW 2019, IEEE, 2019.

A revised O2 reduction model in Li-O2 batteries as revealed by in situ small angle X-ray scattering
C. Prehal, A. Samojlov, M. Nachtnebel, M. Kriechbaum, H. Amenitsch, S.A. Freunberger, (n.d.).

Function norms for neural networks
A. Rannen-Triki, M. Berman, V. Kolmogorov, M.B. Blaschko, in:, Proceedings of the 2019 International Conference on Computer Vision Workshop, IEEE, 2019.

Detecting visual relationships using box attention
A. Kolesnikov, A. Kuznetsova, C. Lampert, V. Ferrari, in:, Proceedings of the 2019 International Conference on Computer Vision Workshop, IEEE, 2019.

Accurate, scalable and integrative haplotype estimation
O. Delaneau, J.-F. Zagury, M.R. Robinson, J.L. Marchini, E.T. Dermitzakis, Nature Communications 10 (2019).

Mitochondrial haplotypes affect metabolic phenotypes in the Drosophila Genetic Reference Panel
R.P.J. Bevers, M. Litovchenko, A. Kapopoulou, V.S. Braman, M.R. Robinson, J. Auwerx, B. Hollis, B. Deplancke, Nature Metabolism 1 (2019) 1226–1242.

Maximum likelihood method quantifies the overall contribution of gene-environment interaction to continuous traits: An application to complex traits in the UK Biobank
J. Sulc, N. Mounier, F. Günther, T. Winkler, A.R. Wood, T.M. Frayling, I.M. Heid, M.R. Robinson, Z. Kutalik, BioRxiv (2019).

Token swapping on trees
A. Biniaz, K. Jain, A. Lubiw, Z. Masárová, T. Miltzow, D. Mondal, A.M. Naredla, J. Tkadlec, A. Turcotte, ArXiv (n.d.).

The Repo homeodomain transcription factor suppresses hematopoiesis in Drosophila and preserves the glial fate
G. Trébuchet, P.B. Cattenoz, J. Zsámboki, D. Mazaud, D.E. Siekhaus, M. Fanto, A. Giangrande, Journal of Neuroscience 39 (2019) 238–255.

Bose–Einstein condensation in a dilute, trapped gas at positive temperature
A. Deuchert, R. Seiringer, J. Yngvason, Communications in Mathematical Physics 368 (2019) 723–776.

Think: Theory for Africa
C.B. Currin, P.N. Khoza, A.D. Antrobus, P.E. Latham, T.P. Vogels, J.V. Raimondo, PLOS Computational Biology 15 (2019).