Harsh Shrivastava

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Graphical Models

Multivariate Time Series

Conditional Independence

Top Venues

J. Comput. Biol.

Publications

Harsh Shrivastava, Urszula Chajewska
Methods for Recovering Conditional Independence Graphs: A Survey. J. Artif. Intell. Res. 80 (2024)
Harsh Shrivastava
Generative Kaleidoscopic Networks. CoRR (2024)
Urszula Chajewska, Harsh Shrivastava
Knowledge Propagation over Conditional Independence Graphs. CoRR (2023)
Harsh Shrivastava, Urszula Chajewska
Neural Graphical Models. ECSQARU (2023)
Harsh Shrivastava, Urszula Chajewska
Neural Graph Revealers. CoRR (2023)
Urszula Chajewska, Harsh Shrivastava
Federated Learning with Neural Graphical Models. CoRR (2023)
Shima Imani, Ali Beyram, Harsh Shrivastava
DiversiGATE: A Comprehensive Framework for Reliable Large Language Models. CoRR (2023)
Shima Imani, Harsh Shrivastava
tGLAD: A Sparse Graph Recovery Based Approach for Multivariate Time Series Segmentation. AALTD@ECML/PKDD (2023)
Shima Imani, Liang Du, Harsh Shrivastava
MathPrompter: Mathematical Reasoning using Large Language Models. ACL (industry) (2023)
Harsh Shrivastava, Urszula Chajewska
Neural Graph Revealers. ML4MHD (2023)
Harsh Shrivastava, Urszula Chajewska
Methods for Recovering Conditional Independence Graphs: A Survey. CoRR (2022)
Harsh Shrivastava, Xiuwei Zhang, Le Song, Srinivas Aluru
GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks. J. Comput. Biol. 29 (1) (2022)
Harsh Shrivastava, Urszula Chajewska
Neural Graphical Models. CoRR (2022)
Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen
uGLAD: Sparse graph recovery by optimizing deep unrolled networks. CoRR (2022)
Maneesha Aluru, Harsh Shrivastava, Sriram P. Chockalingam, Shruti Shivakumar, Srinivas Aluru
EnGRaiN: a supervised ensemble learning method for recovery of large-scale gene regulatory networks. Bioinform. 38 (5) (2022)
Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song
GLAD: Learning Sparse Graph Recovery. ICLR (2020)
Harsh Shrivastava, Eugene Bart, Bob Price, Hanjun Dai, Bo Dai, Srinivas Aluru
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification. CoRR (2019)
Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song
GLAD: Learning Sparse Graph Recovery. CoRR (2019)
Harsh Shrivastava, Eugene Bart, Bob Price, Hanjun Dai, Bo Dai, Srinivas Aluru
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification. NeurIPS (2018)