Shrinu Kushagra

21 papers A* 1A 2B 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Neural USD: An object-centric framework for iterative editing and control.
CoRR
Alejandro Escontrela, Shrinu Kushagra, Sjoerd van Steenkiste, Yulia Rubanova, Aleksander Holynski, Kelsey R. Allen, Kevin Murphy, Thomas Kipf
2024 J jnl
Model Predictive Simulation Using Structured Graphical Models and Transformers.
CoRR
Xinghua Lou, Meet Dave, Shrinu Kushagra, Miguel Lázaro-Gredilla, Kevin Murphy
2024 J jnl
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX.
J. Mach. Learn. Res.
Guangyao Zhou, Antoine Dedieu, Nishanth Kumar, Wolfgang Lehrach, Shrinu Kushagra, Dileep George, Miguel Lázaro-Gredilla
2023 J jnl
Graph schemas as abstractions for transfer learning, inference, and planning.
CoRR
J. Swaroop Guntupalli, Rajkumar Vasudeva Raju, Shrinu Kushagra, Carter Wendelken, Danny Sawyer, Ishan Deshpande, Guangyao Zhou, Miguel Lázaro-Gredilla, Dileep George
2022 — conf
Adjoined Networks: A Training Paradigm With Applications to Network Compression.
AAAI Spring Symposium: MAKE
Utkarsh Nath, Shrinu Kushagra, Yingzhen Yang
2022 J jnl
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX.
CoRR
Guangyao Zhou, Nishanth Kumar, Miguel Lázaro-Gredilla, Shrinu Kushagra, Dileep George
2020 J jnl
Better Together: Resnet-50 accuracy with $13x$ fewer parameters and at $3x$ speed.
CoRR
Utkarsh Nath, Shrinu Kushagra
2020 J jnl
On sampling from data with duplicate records.
CoRR
Alireza Heidari, Shrinu Kushagra, Ihab F. Ilyas
2020 J jnl
Record fusion: A learning approach.
CoRR
Alireza Heidari, George Michalopoulos, Shrinu Kushagra, Ihab F. Ilyas, Theodoros Rekatsinas
2020 J jnl
Three-dimensional matching is NP-Hard.
CoRR
Shrinu Kushagra
2019 A* conf
A Semi-Supervised Framework of Clustering Selection for De-Duplication.
ICDE
Shrinu Kushagra, Hemant Saxena, Ihab F. Ilyas, Shai Ben-David
2019 A conf
Semi-supervised clustering for de-duplication.
AISTATS
Shrinu Kushagra, Shai Ben-David, Ihab F. Ilyas
2019 — —
Theoretical foundations for efficient clustering.
Shrinu Kushagra
2018 J jnl
Semi-supervised clustering for de-duplication.
CoRR
Shrinu Kushagra, Shai Ben-David, Ihab F. Ilyas
2017 J jnl
Provably noise-robust, regularised k-means clustering.
CoRR
Shrinu Kushagra, Nicole McNabb, Yaoliang Yu, Shai Ben-David
2016 — conf
Clustering with Same-Cluster Queries.
NIPS
Hassan Ashtiani, Shrinu Kushagra, Shai Ben-David
2016 J jnl
Clustering with Same-Cluster Queries.
CoRR
Hassan Ashtiani, Shrinu Kushagra, Shai Ben-David
2016 B conf
Finding Meaningful Cluster Structure Amidst Background Noise.
ALT
Shrinu Kushagra, Samira Samadi, Shai Ben-David
2015 B conf
Information Preserving Dimensionality Reduction.
ALT
Shrinu Kushagra, Shai Ben-David
2014 A conf
Multi-Pivot Quicksort: Theory and Experiments.
ALENEX
Shrinu Kushagra, Alejandro López-Ortiz, Aurick Qiao, J. Ian Munro
2013 — conf
Sensory Updates to Combat Path-Integration Drift.
Canadian AI
Xiang Ji, Shrinu Kushagra, Jeff Orchard