Inference algorithms for pattern-based CRFs on sequence data
V. Kolmogorov, R. Takhanov, Algorithmica 76 (2016) 17–46.

Mechanism for Si–Si bond rupture in single molecule junctions
H. Li, N.T. Kim, T.A. Su, M.L. Steigerwald, C. Nuckolls, P. Darancet, J.L. Leighton, L. Venkataraman, Journal of the American Chemical Society 138 (2016) 16159–16164.

Probing the conductance of the <3-system of bipyridine using destructive interference
A. Borges, E.-D. Fung, F. Ng, L. Venkataraman, G.C. Solomon, The Journal of Physical Chemistry Letters 7 (2016) 4825–4829.

Controlling the rectification properties of molecular junctions through molecule–electrode coupling
M. Koepf, C. Koenigsmann, W. Ding, A. Batra, C.F.A. Negre, L. Venkataraman, G.W. Brudvig, V.S. Batista, C.A. Schmuttenmaer, R.H. Crabtree, Nanoscale 8 (2016) 16357–16362.

High-conductance pathways in ring-strained disilanes by qay of direct <3-Si–Si to Au coordination
N.T. Kim, H. Li, L. Venkataraman, J.L. Leighton, Journal of the American Chemical Society 138 (2016) 11505–11508.

Tuning conductance in <0–<3–<0 single-molecule wires
T.A. Su, H. Li, R.S. Klausen, J.R. Widawsky, A. Batra, M.L. Steigerwald, L. Venkataraman, C. Nuckolls, Journal of the American Chemical Society 138 (2016) 7791–7795.

Mapping the transmission functions of single-molecule junctions
B. Capozzi, J.Z. Low, J. Xia, Z.-F. Liu, J.B. Neaton, L.M. Campos, L. Venkataraman, Nano Letters 16 (2016) 3949–3954.

Solvent-dependent conductance decay constants in single cluster junctions
B. Choi, B. Capozzi, S. Ahn, A. Turkiewicz, G. Lovat, C. Nuckolls, M.L. Steigerwald, L. Venkataraman, X. Roy, Chemical Science 7 (2016) 2701–2705.

Structure–property relationships in atomic-scale junctions: Histograms and beyond
M.S. Hybertsen, L. Venkataraman, Accounts of Chemical Research 49 (2016) 452–460.

Chemical principles of single-molecule electronics
T.A. Su, M. Neupane, M.L. Steigerwald, L. Venkataraman, C. Nuckolls, Nature Reviews Materials 1 (2016).

Structure–function relationships in single molecule rectification by N-phenylbenzamide derivatives
C. Koenigsmann, W. Ding, M. Koepf, A. Batra, L. Venkataraman, C.F.A. Negre, G.W. Brudvig, R.H. Crabtree, V.S. Batista, C.A. Schmuttenmaer, New Journal of Chemistry 40 (2016) 7373–7378.

Conformations of cyclopentasilane stereoisomers control molecular junction conductance
H. Li, M.H. Garner, Z. Shangguan, Q. Zheng, T.A. Su, M. Neupane, P. Li, A. Velian, M.L. Steigerwald, S. Xiao, C. Nuckolls, G.C. Solomon, L. Venkataraman, Chemical Science 7 (2016) 5657–5662.

Ultrafast electron injection into photo-excited organic molecules
D. Cvetko, G. Fratesi, G. Kladnik, A. Cossaro, G.P. Brivio, L. Venkataraman, A. Morgante, Physical Chemistry Chemical Physics 18 (2016) 22140–22145.

Sparse Models for Intrinsic Shape Correspondence
J. Pokrass, A.M. Bronstein, M.M. Bronstein, P. Sprechmann, G. Sapiro, in:, M. Breuß, A. Bruckstein, P. Maragos, S. Wuhrer (Eds.), Perspectives in Shape Analysis, 1st ed., Springer International Publishing, Cham, 2016, pp. 211–230.

On the closure of relational models
A. Klimova, T. Rudas, Journal of Multivariate Analysis 143 (2016) 440–452.

Shape retrieval of non-rigid 3D human models
D. Pickup, X. Sun, P.L. Rosin, R.R. Martin, Z. Cheng, Z. Lian, M. Aono, A.B. Hamza, A.M. Bronstein, M. Bronstein, S. Bu, U. Castellani, S. Cheng, V. Garro, A. Giachetti, A. Godil, L. Isaia, J. Han, H. Johan, L. Lai, B. Li, C. Li, H. Li, R. Litman, X. Liu, Z. Liu, Y. Lu, L. Sun, G. Tam, A. Tatsuma, J. Ye, International Journal of Computer Vision 120 (2016) 169–193.

Consistent discretization and minimization of the L1 norm on manifolds
A.M. Bronstein, Y. Choukroun, R. Kimmel, M. Sela, in:, 2016 Fourth International Conference on 3D Vision (3DV), IEEE, 2016.

SpectroMeter: Amortized sublinear spectral approximation of distance on graphs
R. Litman, A.M. Bronstein, in:, 2016 Fourth International Conference on 3D Vision (3DV), IEEE, 2016.

A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels
T. Remez, O. Litany, A.M. Bronstein, in:, 2016 IEEE International Conference on Computational Photography (ICCP), IEEE, 2016.

Deep neural networks with random Gaussian weights: A universal classification strategy?
R. Giryes, G. Sapiro, A.M. Bronstein, IEEE Transactions on Signal Processing 64 (2016) 3444–3457.