| 2023 | ICML | Efficient Training of Language Models using Few-Shot Learning. | Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar |
| 2021 | ICLR | A unifying view on implicit bias in training linear neural networks. | Chulhee Yun, Shankar Krishnan, Hossein Mobahi |
| 2020 | CVPR | Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks. | Saurabh Singh, Shankar Krishnan |
| 2019 | ICML | An Investigation into Neural Net Optimization via Hessian Eigenvalue Density. | Behrooz Ghorbani, Shankar Krishnan, Ying Xiao |
| 2018 | ICLR | Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks. | Shankar Krishnan, Ying Xiao, Rif A. Saurous |
| 2017 | WCNC | Exact Characterization of Spatio-Temporal Joint Coverage Probability in Cellular Networks. | Shankar Krishnan, Harpreet S. Dhillon |
| 2015 | ACSSC | Distributed caching in device-to-device networks: A stochastic geometry perspective. | Shankar Krishnan, Harpreet S. Dhillon |
| 2013 | GD | COAST: A Convex Optimization Approach to Stress-Based Embedding. | Emden R. Gansner, Yifan Hu, Shankar Krishnan |
| 2013 | ICIP | Guided image upsampling using bitmap tracing. | Shankar Krishnan, James T. Klosowski |
| 2011 | IDA | Robustness of Change Detection Algorithms. | Tamraparni Dasu, Shankar Krishnan, Gina Maria Pomann |
| 2011 | KDD | Unsupervised clustering of multidimensional distributions using earth mover distance. | David L. Applegate, Tamraparni Dasu, Shankar Krishnan, Simon Urbanek |
| 2009 | IDA | Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams. | Tamraparni Dasu, Shankar Krishnan, Dongyu Lin, Suresh Venkatasubramanian, Kevin Yi |
| 2008 | ICARCV | Camera motion estimation via optimization-on-a-manifold. | Shankar Krishnan, Pei Yean Lee, John B. Moore |
| 2008 | IPCO | Importance Sampling via Load-Balanced Facility Location. | Aaron Archer, Shankar Krishnan |
| 2006 | ICRA | Topology Preserving Approximation of Free Configuration Space. | Gokul Varadhan, Young J. Kim, Shankar Krishnan, Dinesh Manocha |
| 2006 | SGP | Reliable implicit surface polygonization using visibility mapping. | Gokul Varadhan, Shankar Krishnan, Liangjun Zhang, Dinesh Manocha |
| 2005 | ALENEX | Hardware-Assisted Natural Neighbor Interpolation. | Quanfu Fan, Alon Efrat, Vladlen Koltun, Shankar Krishnan, Suresh Venkatasubramanian |
| 2005 | SGP | Global Registration of Multiple 3D Point Sets via Optimization-on-a-Manifold. | Shankar Krishnan, Pei Yean Lee, John B. Moore, Suresh Venkatasubramanian |
| 2004 | VLDB | Compressing Large Boolean Matrices using Reordering Techniques. | David S. Johnson, Shankar Krishnan, Jatin Chhugani, Subodh Kumar, Suresh Venkatasubramanian |
| 2004 | SGP | Topology Preserving Surface Extraction Using Adaptive Subdivision. | Gokul Varadhan, Shankar Krishnan, T. V. N. Sriram, Dinesh Manocha |
| 2004 | WAFR | A Simple Algorithm for Complete Motion Planning of Translating Polyhedral Robots. | Gokul Varadhan, Shankar Krishnan, T. V. N. Sriram, Dinesh Manocha |
| 2003 | ESA | Streaming Geometric Optimization Using Graphics Hardware. | Pankaj K. Agarwal, Shankar Krishnan, Nabil H. Mustafa, Suresh Venkatasubramanian |
| 2003 | SGP | Efficient Max-Norm Distance Computation for Reliable Voxelization. | Gokul Varadhan, Shankar Krishnan, Young J. Kim, Dinesh Manocha, Suhas N. Diggavi |
| 2002 | SODA | Hardware-assisted computation of depth contours. | Shankar Krishnan, Nabil H. Mustafa, Suresh Venkatasubramanian |
| 1995 | ISSAC | Numeric-Symbolic Algorithms for Evaluating One-Dimensional Algebraic Sets. | Shankar Krishnan, Dinesh Manocha |