| An investigation into neural net optimization via hessian eigenvalue density B Ghorbani, S Krishnan, Y Xiao arXiv preprint arXiv:1901.10159, 2019 | 442 | 2019 |
| An information-theoretic approach to detecting changes in multi-dimensional data streams T Dasu, S Krishnan, S Venkatasubramanian, K Yi In Proc. Symp. on the Interface of Statistics, Computing Science, and …, 2006 | 397 | 2006 |
| Surface reconstruction based on lower dimensional localized Delaunay triangulation M Gopi, S Krishnan, CT Silva Computer Graphics Forum 19 (3), 467-478, 2000 | 396 | 2000 |
| An efficient surface intersection algorithm based on lower-dimensional formulation S Krishnan, D Manocha ACM Transactions on Graphics (TOG) 16 (1), 74-106, 1997 | 222 | 1997 |
| An E cient Surface Intersection Algorithm based on Lower Dimensional Formulation S Krishnan, D Manocha Center for Computer Graphics & Scientific Visualization and NSF Prime …, 1994 | 222* | 1994 |
| Filter response normalization layer: Eliminating batch dependence in the training of deep neural networks S Singh, S Krishnan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 195 | 2020 |
| Global Registration of Multiple 3D Point Sets via Optimization-on-a-Manifold. S Krishnan, PY Lee, JB Moore, S Venkatasubramanian Symposium on Geometry Processing, 187-196, 2005 | 136 | 2005 |
| Global Registration of Multiple 3D Point Sets via Optimization-on-a-Manifold. S Krishnan, PY Lee, JB Moore, S Venkatasubramanian Symposium on Geometry Processing, 187-196, 2005 | 132 | 2005 |
| Topology preserving surface extraction using adaptive subdivision G Varadhan, S Krishnan, TVN Sriram, D Manocha Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry …, 2004 | 118 | 2004 |
| A fast and efficient projection-based approach for surface reconstruction M Gopi, S Krishnan Proceedings. XV Brazilian Symposium on Computer Graphics and Image …, 2002 | 115 | 2002 |
| A fast and efficient projection-based approach for surface reconstruction M Gopi, S Krishnan Proceedings. XV Brazilian Symposium on Computer Graphics and Image …, 2002 | 115 | 2002 |
| A Unifying View on Implicit Bias in Training Linear Neural Networks C Yun, S Krishnan, H Mobahi arXiv preprint arXiv:2010.02501, 2020 | 109 | 2020 |
| Compressing large boolean matrices using reordering techniques D Johnson, S Krishnan, J Chhugani, S Kumar, S Venkatasubramanian Proceedings of the Thirtieth international conference on Very large data …, 2004 | 107 | 2004 |
| Rapid and accurate contact determination between spline models using ShellTrees S Krishnan, M Gopi, M Lin, D Manocha, A Pattekar Computer Graphics Forum 17 (3), 315-326, 1998 | 101 | 1998 |
| Feature-sensitive subdivision and isosurface reconstruction G Varadhan, S Krishnan, YJ Kim, D Manocha IEEE Visualization, 2003. VIS 2003., 99-106, 2003 | 88 | 2003 |
| Visualization research with large displays B Wei, C Silva, E Koutsofios, S Krishnan, S North IEEE Computer Graphics and Applications, 50-54, 2000 | 88 | 2000 |
| ESOLID—a system for exact boundary evaluation J Keyser, T Culver, M Foskey, S Krishnan, D Manocha Computer-Aided Design 36 (2), 175-193, 2004 | 83 | 2004 |
| MAPC: A library for efficient and exact manipulation of algebraic points and curves J Keyser, T Culver, D Manocha, S Krishnan Proceedings of the fifteenth annual symposium on Computational geometry, 360-369, 1999 | 77 | 1999 |
| Streaming geometric optimization using graphics hardware PK Agarwal, S Krishnan, NH Mustafa, S Venkatasubramanian European Symposium on Algorithms, 544-555, 2003 | 71 | 2003 |
| Efficient and exact manipulation of algebraic points and curves J Keyser, T Culver, D Manocha, S Krishnan Computer-Aided Design 32 (11), 649-662, 2000 | 65 | 2000 |
