Shrinu Kushagra

According to our database, Shrinu Kushagra authored at least 18 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Neural USD: An object-centric framework for iterative editing and control.

Alejandro Escontrela, Shrinu Kushagra, Sjoerd van Steenkiste, Yulia Rubanova, Aleksander Holynski, Kelsey R. Allen, Kevin Murphy, Thomas Kipf

CoRR, October, 2025

2024

Model Predictive Simulation Using Structured Graphical Models and Transformers.

Xinghua Lou, Meet Dave, Shrinu Kushagra, Miguel Lázaro-Gredilla, Kevin Murphy

CoRR, 2024

2023

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

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

Adjoined Networks: A Training Paradigm With Applications to Network Compression.

Utkarsh Nath, Shrinu Kushagra, Yingzhen Yang

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 2022

2020

On sampling from data with duplicate records.

Alireza Heidari, Shrinu Kushagra, Ihab F. Ilyas

CoRR, 2020

Record fusion: A learning approach.

Alireza Heidari, George Michalopoulos, Shrinu Kushagra, Ihab F. Ilyas, Theodoros Rekatsinas

CoRR, 2020

Better Together: Resnet-50 accuracy with $13x$ fewer parameters and at $3x$ speed.

Utkarsh Nath, Shrinu Kushagra

CoRR, 2020

Three-dimensional matching is NP-Hard.

Shrinu Kushagra

CoRR, 2020

2019

Theoretical foundations for efficient clustering.

Shrinu Kushagra

PhD thesis, 2019

A Semi-Supervised Framework of Clustering Selection for De-Duplication.

Shrinu Kushagra, Hemant Saxena, Ihab F. Ilyas, Shai Ben-David

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Semi-supervised clustering for de-duplication.

Shrinu Kushagra, Shai Ben-David, Ihab F. Ilyas

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

Provably noise-robust, regularised k-means clustering.

Shrinu Kushagra, Nicole McNabb, Yaoliang Yu, Shai Ben-David

CoRR, 2017

2016

Clustering with Same-Cluster Queries.

Hassan Ashtiani, Shrinu Kushagra, Shai Ben-David

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Finding Meaningful Cluster Structure Amidst Background Noise.

Shrinu Kushagra, Samira Samadi, Shai Ben-David

Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016

2015

Information Preserving Dimensionality Reduction.

Shrinu Kushagra, Shai Ben-David

Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

2014

Multi-Pivot Quicksort: Theory and Experiments.

Shrinu Kushagra, Alejandro López-Ortiz, Aurick Qiao, J. Ian Munro

Proceedings of the 2014 Proceedings of the Sixteenth Workshop on Algorithm Engineering and Experiments, 2014

2013

Sensory Updates to Combat Path-Integration Drift.

Xiang Ji, Shrinu Kushagra, Jeff Orchard

Proceedings of the Advances in Artificial Intelligence, 2013