Sensory Updates to Combat Path-Integration Drift. - Xiang Ji; Shrinu Kushagra; Jeff Orchard (Canadian AI, 2013)

Multi-Pivot Quicksort: Theory and Experiments. - Shrinu Kushagra; Alejandro López-Ortiz; Aurick Qiao; J. Ian Munro (ALENEX, 2014)

Information Preserving Dimensionality Reduction. - Shrinu Kushagra; Shai Ben-David (ALT, 2015)

Finding Meaningful Cluster Structure Amidst Background Noise. - Shrinu Kushagra; Samira Samadi; Shai Ben-David (ALT, 2016)

Clustering with Same-Cluster Queries. - Hassan Ashtiani; Shrinu Kushagra; Shai Ben-David (NIPS, 2016)

Provably noise-robust, regularised k-means clustering. - Shrinu Kushagra; Nicole McNabb; Yaoliang Yu; Shai Ben-David (CoRR, 2017)

Semi-supervised clustering for de-duplication. - Shrinu Kushagra; Shai Ben-David; Ihab F. Ilyas (AISTATS, 2019)

A Semi-Supervised Framework of Clustering Selection for De-Duplication. - Shrinu Kushagra; Hemant Saxena; Ihab F. Ilyas; Shai Ben-David (ICDE, 2019)

Theoretical foundations for efficient clustering. - Shrinu Kushagra (2019)

Three-dimensional matching is NP-Hard. - Shrinu Kushagra (CoRR, 2020)

Better Together: Resnet-50 accuracy with $13x$ fewer parameters and at $3x$ speed. - Utkarsh Nath; Shrinu Kushagra (CoRR, 2020)

Record fusion: A learning approach. - Alireza Heidari; George Michalopoulos; Shrinu Kushagra; Ihab F. Ilyas; Theodoros Rekatsinas (CoRR, 2020)

On sampling from data with duplicate records. - Alireza Heidari; Shrinu Kushagra; Ihab F. Ilyas (CoRR, 2020)

Adjoined Networks: A Training Paradigm With Applications to Network Compression. - Utkarsh Nath; Shrinu Kushagra; Yingzhen Yang (AAAI Spring Symposium: MAKE, 2022)

PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX. - Guangyao Zhou; Nishanth Kumar; Miguel Lázaro-Gredilla; Shrinu Kushagra; Dileep George (CoRR, 2022)

Graph schemas as abstractions for transfer learning, inference, and planning. - J. Swaroop Guntupalli; Rajkumar Vasudeva Raju; Shrinu Kushagra; Carter Wendelken; Danny Sawyer; Ishan Deshpande; Guangyao Zhou; Miguel Lázaro-Gredilla; Dileep George (CoRR, 2023)

Model Predictive Simulation Using Structured Graphical Models and Transformers. - Xinghua Lou; Meet Dave; Shrinu Kushagra; Miguel Lázaro-Gredilla; Kevin Murphy (CoRR, 2024)