Representation and Computation of Boolean Combinations of Sculptured Models. - Shankar Krishnan; Atul Narkhede; Dinesh Manocha (SCG, 1995)

Numeric-Symbolic Algorithms for Evaluating One-Dimensional Algebraic Sets. - Shankar Krishnan; Dinesh Manocha (ISSAC, 1995)

Algebraic Loop Detection & Evaluation Algorithms for Curve & Surface Interrogations. - Shankar Krishnan; Dinesh Manocha (Graphics Interface, 1996)

Solving algebraic systems using matrix computations. - Dinesh Manocha; Shankar Krishnan (SIGSAM Bull., 1996)

Interactive display of large solid models for walkthroughs. - Subodh Kumar 001; Shankar Krishnan; Dinesh Manocha (IEEE Computer Graphics and Applications, 1996)

Efficient and Accurate B-rep Generation of Low Degree Sculptured Solids Using Exact Arithmetic. - John Keyser; Shankar Krishnan; Dinesh Manocha (Symposium on Solid Modeling and Applications, 1997)

Algebraic pruning: a fast technique for curve and surface intersection. - Dinesh Manocha; Shankar Krishnan (Comput. Aided Geom. Des., 1997)

Interactive Boundary Computation of Boolean Combinations of Sculptured Solids. - Shankar Krishnan; M. Gopi 001; Dinesh Manocha; Mark R. Mine (Comput. Graph. Forum, 1997)

An Efficient Surface Intersection Algorithm Based on Lower-Dimensional Formulation. - Shankar Krishnan; Dinesh Manocha (ACM Trans. Graph., 1997)

Rapid and Accurate Contact Determination between Spline Models using ShellTrees. - Shankar Krishnan; M. Gopi 001; Ming C. Lin; Dinesh Manocha; A. Pattekar (Comput. Graph. Forum, 1998)

MAPC: A Library for Efficient and Exact Manipulation of Algebraic Points and Curves. - John Keyser; Tim Culver; Dinesh Manocha; Shankar Krishnan (SCG, 1999)

Efficient and accurate B-rep generation of low degree sculptured solids using exact arithmetic: I - representations. - John Keyser; Shankar Krishnan; Dinesh Manocha (Comput. Aided Geom. Des., 1999)

Efficient and accurate B-rep generation of low degree sculptured solids using exact arithmetic: II - computation. - John Keyser; Shankar Krishnan; Dinesh Manocha (Comput. Aided Geom. Des., 1999)

Efficient and exact manipulation of algebraic points and curves. - John Keyser; Tim Culver; Dinesh Manocha; Shankar Krishnan (Comput. Aided Des., 2000)

Visualization Research with Large Displays. - Bin Wei 003; Cláudio T. Silva; Eleftherios Koutsofios; Shankar Krishnan; Stephen C. North (IEEE Computer Graphics and Applications, 2000)

Surface Reconstruction Based on Lower Dimensional Localized Delaunay Triangulation. - M. Gopi 001; Shankar Krishnan; Cláudio T. Silva (Comput. Graph. Forum, 2000)

Partitioning Trimmed Spline Surfaces into NonSelf-Occluding Regions for Visibility Computation. - Shankar Krishnan; Dinesh Manocha (Graph. Model., 2000)

PRECISE: efficient multiprecision evaluation of algebraic roots and predicates for reliable geometric computation. - Shankar Krishnan; Mark Foskey; Tim Culver; John Keyser; Dinesh Manocha (SCG, 2001)

Hardware-assisted view-dependent map simplification. - Nabil H. Mustafa; Eleftherios Koutsofios; Shankar Krishnan; Suresh Venkatasubramanian (SCG, 2001)

A Hardware-Assisted Visibility-Ordering Algorithm With Applications To Volume Rendering. - Shankar Krishnan; Cláudio T. Silva; Bin Wei 003 (VisSym, 2001)

BOOLE: A Boundary Evaluation System for Boolean Combinations of Sculptured Solids. - Shankar Krishnan; Dinesh Manocha; M. Gopi 001; Tim Culver; John Keyser (Int. J. Comput. Geom. Appl., 2001)

A Fast and Efficient Projection-Based Approach for Surface Reconstruction. - M. Gopi 001; Shankar Krishnan (SIBGRAPI, 2002)

Hardware-assisted computation of depth contours. - Shankar Krishnan; Nabil H. Mustafa; Suresh Venkatasubramanian (SODA, 2002)

Streaming Geometric Optimization Using Graphics Hardware. - Pankaj K. Agarwal; Shankar Krishnan; Nabil H. Mustafa; Suresh Venkatasubramanian (ESA, 2003)

Efficient Max-Norm Distance Computation for Reliable Voxelization. - Gokul Varadhan; Shankar Krishnan; Young J. Kim; Dinesh Manocha; Suhas N. Diggavi (Symposium on Geometry Processing, 2003)

Application of the two-sided depth test to CSG rendering. - Sudipto Guha; Shankar Krishnan; Kamesh Munagala; Suresh Venkatasubramanian (SI3D, 2003)

Feature-Sensitive Subdivision and Isosurface Reconstruction. - Gokul Varadhan; Shankar Krishnan; Young J. Kim; Dinesh Manocha (IEEE Visualization, 2003)

A Hybrid Approach for Determinant Signs of Moderate-Sized Matrices. - Tim Culver; John Keyser; Dinesh Manocha; Shankar Krishnan (Int. J. Comput. Geom. Appl., 2003)

Topology Preserving Surface Extraction Using Adaptive Subdivision. - Gokul Varadhan; Shankar Krishnan; T. V. N. Sriram; Dinesh Manocha (Symposium on Geometry Processing, 2004)

Compressing Large Boolean Matrices using Reordering Techniques. - David S. Johnson 001; Shankar Krishnan; Jatin Chhugani; Subodh Kumar 001; Suresh Venkatasubramanian (VLDB, 2004)

ESOLID - a system for exact boundary evaluation. - John Keyser; Tim Culver; Mark Foskey; Shankar Krishnan; Dinesh Manocha (Comput. Aided Des., 2004)

Hardware-Assisted Natural Neighbor Interpolation. - Quanfu Fan; Alon Efrat; Vladlen Koltun; Shankar Krishnan; Suresh Venkatasubramanian (ALENEX/ANALCO, 2005)

Global Registration of Multiple 3D Point Sets via Optimization-on-a-Manifold. - Shankar Krishnan; Pei Yean Lee; John B. Moore; Suresh Venkatasubramanian (Symposium on Geometry Processing, 2005)

vLOD: High-Fidelity Walkthrough of Large Virtual Environments. - Jatin Chhugani; Budirijanto Purnomo; Shankar Krishnan; Jonathan D. Cohen 001; Suresh Venkatasubramanian; David S. Johnson 001; Subodh Kumar 001 (IEEE Trans. Vis. Comput. Graph., 2005)

Topology Preserving Approximation of Free Configuration Space. - Gokul Varadhan; Young J. Kim; Shankar Krishnan; Dinesh Manocha (ICRA, 2006)

Reliable implicit surface polygonization using visibility mapping. - Gokul Varadhan; Shankar Krishnan; Liangjun Zhang; Dinesh Manocha (Symposium on Geometry Processing, 2006)

Dynamic simplification and visualization of large maps. - Nabil H. Mustafa; Shankar Krishnan; Gokul Varadhan; Suresh Venkatasubramanian (Int. J. Geogr. Inf. Sci., 2006)

A Simple Algorithm for Complete Motion Planning of Translating Polyhedral Robots. - Gokul Varadhan; Shankar Krishnan; T. V. N. Sriram; Dinesh Manocha (Int. J. Robotics Res., 2006)

Optimisation-on-a-manifold for global registration of multiple 3D point sets. - Shankar Krishnan; Pei Yean Lee; John B. Moore; Suresh Venkatasubramanian (Int. J. Intell. Syst. Technol. Appl., 2007)

Camera motion estimation via optimization-on-a-manifold. - Shankar Krishnan; Pei Yean Lee; John B. Moore (ICARCV, 2008)

Importance Sampling via Load-Balanced Facility Location. - Aaron Archer; Shankar Krishnan (IPCO, 2008)

Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams. - Tamraparni Dasu; Shankar Krishnan; Dongyu Lin; Suresh Venkatasubramanian; Kevin Yi (IDA, 2009)

Approximate shape matching and symmetry detection for 3D shapes with guaranteed error bounds. - Shankar Krishnan; Suresh Venkatasubramanian (Shape Modeling International, 2009)

Thermal management: Enabling enhanced functionality and reduced carbon footprint. - Domhnaill Hernon; Todd Salamon; Roger Kempers; Shankar Krishnan; Alan Lyons; Marc Hodes; Paul Kolodner; John Mullins; Liam McGarry (Bell Labs Tech. J., 2009)

Exoskeleton systems kinematics analysis with graph-matroid approach. - Ilie Talpasanu; Shankar Krishnan (CASE, 2011)

Project-based learning with international collaboration for training biomedical engineers. - Shankar Krishnan (EMBC, 2011)

Robustness of Change Detection Algorithms. - Tamraparni Dasu; Shankar Krishnan; Gina Maria Pomann (IDA, 2011)

Unsupervised clustering of multidimensional distributions using earth mover distance. - David L. Applegate; Tamraparni Dasu; Shankar Krishnan; Simon Urbanek (KDD, 2011)

Real-time image deconvolution on the GPU. - James T. Klosowski; Shankar Krishnan (Parallel Processing for Imaging Applications, 2011)

Drawing Large Graphs by Low-Rank Stress Majorization. - Marc Khoury; Yifan Hu 001; Shankar Krishnan; Carlos Eduardo Scheidegger (Comput. Graph. Forum, 2012)

Achieving Approximate Soft Clustering in Data Streams - Vaneet Aggarwal; Shankar Krishnan (CoRR, 2012)

Combining Predictors for Recommending Music: the False Positives' approach to KDD Cup track 2. - Suhrid Balakrishnan; Rensheng Wang; Carlos Eduardo Scheidegger; Angus MacLellan; Yifan Hu 001; Aaron Archer; Shankar Krishnan; David L. Applegate; Guangqin Ma; S. Tom Au (KDD Cup, 2012)

Promoting interdisciplinary project-based learning to build the skill sets for research and development of medical devices in academia. - Shankar Krishnan (EMBC, 2013)

COAST: A Convex Optimization Approach to Stress-Based Embedding. - Emden R. Gansner; Yifan Hu 001; Shankar Krishnan (GD, 2013)

Guided image upsampling using bitmap tracing. - Shankar Krishnan; James T. Klosowski (ICIP, 2013)

Accelerated Bilateral Filtering With Block Skipping. - Chao Tian 002; Shankar Krishnan (IEEE Signal Process. Lett., 2013)

Distributed caching in device-to-device networks: A stochastic geometry perspective. - Shankar Krishnan; Harpreet S. Dhillon (ACSSC, 2015)

Exact Characterization of Spatio-Temporal Joint Coverage Probability in Cellular Networks. - Shankar Krishnan; Harpreet S. Dhillon (WCNC, 2017)

Effect of Retransmissions on Optimal Caching in Cache-Enabled Small Cell Networks. - Shankar Krishnan; Mehrnaz Afshang; Harpreet S. Dhillon (IEEE Trans. Veh. Technol., 2017)

Spatio-Temporal Interference Correlation and Joint Coverage in Cellular Networks. - Shankar Krishnan; Harpreet S. Dhillon (IEEE Trans. Wirel. Commun., 2017)

Effect of User Mobility on the Performance of Device-to-Device Networks With Distributed Caching. - Shankar Krishnan; Harpreet S. Dhillon (IEEE Wirel. Commun. Lett., 2017)

Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks. - Shankar Krishnan; Ying Xiao; Rif A. Saurous (ICLR (Poster), 2018)

An Investigation into Neural Net Optimization via Hessian Eigenvalue Density. - Behrooz Ghorbani; Shankar Krishnan; Ying Xiao (ICML, 2019)

Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks. - Saurabh Singh; Shankar Krishnan (CVPR, 2020)

Explaining Memorization and Generalization: A Large-Scale Study with Coherent Gradients. - Piotr Zielinski; Shankar Krishnan; Satrajit Chatterjee (CoRR, 2020)

A unifying view on implicit bias in training linear neural networks. - Chulhee Yun; Shankar Krishnan; Hossein Mobahi (ICLR, 2021)

Adaptive Gradient Methods at the Edge of Stability. - Jeremy Cohen 001; Behrooz Ghorbani; Shankar Krishnan; Naman Agarwal; Sourabh Medapati; Michal Badura; Daniel Suo; David Cardoze; Zachary Nado; George E. Dahl; Justin Gilmer (CoRR, 2022)

Efficient Training of Language Models using Few-Shot Learning. - Sashank J. Reddi; Sobhan Miryoosefi; Stefani Karp; Shankar Krishnan; Satyen Kale; Seungyeon Kim 001; Sanjiv Kumar (ICML, 2023)

Benchmarking Neural Network Training Algorithms. - George E. Dahl; Frank Schneider 001; Zachary Nado; Naman Agarwal; Chandramouli Shama Sastry; Philipp Hennig; Sourabh Medapati; Runa Eschenhagen; Priya Kasimbeg; Daniel Suo; Juhan Bae; Justin Gilmer; et al. (CoRR, 2023)

Fall Detection Systems at Night. - Ramanujam Elangovan; Thinagaran Perumal; Shankar Krishnan (Computer, 2023)

On the Inductive Bias of Stacking Towards Improving Reasoning. - Nikunj Saunshi; Stefani Karp; Shankar Krishnan; Sobhan Miryoosefi; Sashank Jakkam Reddi; Sanjiv Kumar (NeurIPS, 2024)

A review on fall detection systems in bathrooms: challenges and opportunities. - Ramanujam Elangovan; Thinagaran Perumal; Shankar Krishnan (Multim. Tools Appl., 2024)

Training neural networks faster with minimal tuning using pre-computed lists of hyperparameters for NAdamW. - Sourabh Medapati; Priya Kasimbeg; Shankar Krishnan; Naman Agarwal; George E. Dahl (CoRR, 2025)