Neural Graphical Models
Harsh Shrivastava, Urszula Chajewska
European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2023) | September 2023
Science Engine
Using AI, high-performance computing, and human expertise to solve society’s most challenging problems
Publications
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Are uGLAD? Time will tell!
Shima Imani, Harsh Shrivastava
Workshop on Advanced Analytics and Learning on Temporal Data (ECML 2023) | September 2023
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Methods for Recovering Conditional Independence Graphs: A Survey
Harsh Shrivastava, Urszula Chajewska
The Journal of Artificial Intelligence Research (JAIR) | September 2023
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Knowledge Propagation over Conditional Independence Graphs
Urszula Chajewska, Harsh Shrivastava
August 2023
Arxiv preprint | August 2023
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Neural Graph Revealers
Harsh Shrivastava, Urszula Chajewska
Workshop Machine Learning for Multimodal Healthcare Data (ICML 2023) | July 2023
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MathPrompter: Mathematical Reasoning using Large Language Models
Shima Imani, Liang Du, Harsh Shrivastava
Meeting of the Association for Computational Linguistics | July 2023
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DiversiGATE: A Comprehensive Framework for Reliable Large Language Models
Shima Imani, Ali Beyram, Harsh Shrivastava
June 2023
June 2023
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Reconstruction of Gene Regulatory Networks using Sparse Graph Recovery Models
Harsh Shrivastava
April 2023
Arxiv preprint | April 2023
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uGLAD: A Deep Learning Model to Recover Conditional Independence Graphs
Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen
Workshop on New Frontiers in Graph Learning (NeurIPS 2022) | December 2022
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uGLAD: Sparse graph recovery by optimizing deep unrolled networks
Harsh Shrivastava
May 2022
arXiv preprint | May 2022
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GriTS: Grid table similarity metric for table structure recognition
Brandon Smock, Rohith Pesala, Robin Abraham
April 2022
arXiv | April 2022
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Discovering Distribution Shifts using Latent Space Representations
Leo Betthauser, Urszula Chajewska, Maurice Diesendruck, Rohith Pesala
February 2022
arXiv | February 2022
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MM-Deacon: Multimodal molecular domain embedding analysis via contrastive learning
Zhihui Guo, Pramod Kumar Sharma, Liang Du, Robin Abraham
ACL 2022 | September 2021
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PubTables-1M: Towards comprehensive table extraction from unstructured documents
Brandon Smock, Rohith Pesala, Robin Abraham
CVPR 2022 | August 2021
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Are uGLAD? Time will tell!
Shima Imani, Harsh Shrivastava
Workshop on Advanced Analytics and Learning on Temporal Data (ECML 2023) | September 2023
-
Knowledge Propagation over Conditional Independence Graphs
Urszula Chajewska, Harsh Shrivastava
August 2023
Arxiv preprint | August 2023
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uGLAD: A Deep Learning Model to Recover Conditional Independence Graphs
Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen
Workshop on New Frontiers in Graph Learning (NeurIPS 2022) | December 2022
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Neural Graphical Models
Harsh Shrivastava, Urszula Chajewska
European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2023) | September 2023
-
Are uGLAD? Time will tell!
Shima Imani, Harsh Shrivastava
Workshop on Advanced Analytics and Learning on Temporal Data (ECML 2023) | September 2023
-
Methods for Recovering Conditional Independence Graphs: A Survey
Harsh Shrivastava, Urszula Chajewska
The Journal of Artificial Intelligence Research (JAIR) | September 2023
-
Knowledge Propagation over Conditional Independence Graphs
Urszula Chajewska, Harsh Shrivastava
August 2023
Arxiv preprint | August 2023
-
Neural Graph Revealers
Harsh Shrivastava, Urszula Chajewska
Workshop Machine Learning for Multimodal Healthcare Data (ICML 2023) | July 2023
-
MathPrompter: Mathematical Reasoning using Large Language Models
Shima Imani, Liang Du, Harsh Shrivastava
Meeting of the Association for Computational Linguistics | July 2023
-
DiversiGATE: A Comprehensive Framework for Reliable Large Language Models
Shima Imani, Ali Beyram, Harsh Shrivastava
June 2023
June 2023
-
Reconstruction of Gene Regulatory Networks using Sparse Graph Recovery Models
Harsh Shrivastava
April 2023
Arxiv preprint | April 2023
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uGLAD: A Deep Learning Model to Recover Conditional Independence Graphs
Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen
Workshop on New Frontiers in Graph Learning (NeurIPS 2022) | December 2022
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uGLAD: Sparse graph recovery by optimizing deep unrolled networks
Harsh Shrivastava
May 2022
arXiv preprint | May 2022
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GriTS: Grid table similarity metric for table structure recognition
Brandon Smock, Rohith Pesala, Robin Abraham
April 2022
arXiv | April 2022
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Discovering Distribution Shifts using Latent Space Representations
Leo Betthauser, Urszula Chajewska, Maurice Diesendruck, Rohith Pesala
February 2022
arXiv | February 2022
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PubTables-1M: Towards comprehensive table extraction from unstructured documents
Brandon Smock, Rohith Pesala, Robin Abraham
CVPR 2022 | August 2021
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Neural Graphical Models
Harsh Shrivastava, Urszula Chajewska
European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2023) | September 2023
-
Knowledge Propagation over Conditional Independence Graphs
Urszula Chajewska, Harsh Shrivastava
August 2023
Arxiv preprint | August 2023
-
Neural Graph Revealers
Harsh Shrivastava, Urszula Chajewska
Workshop Machine Learning for Multimodal Healthcare Data (ICML 2023) | July 2023
-
Reconstruction of Gene Regulatory Networks using Sparse Graph Recovery Models
Harsh Shrivastava
April 2023
Arxiv preprint | April 2023
-
MM-Deacon: Multimodal molecular domain embedding analysis via contrastive learning
Zhihui Guo, Pramod Kumar Sharma, Liang Du, Robin Abraham
ACL 2022 | September 2021
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MathPrompter: Mathematical Reasoning using Large Language Models
Shima Imani, Liang Du, Harsh Shrivastava
Meeting of the Association for Computational Linguistics | July 2023
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DiversiGATE: A Comprehensive Framework for Reliable Large Language Models
Shima Imani, Ali Beyram, Harsh Shrivastava
June 2023
June 2023
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-
-
GriTS: Grid table similarity metric for table structure recognition
Brandon Smock, Rohith Pesala, Robin Abraham
April 2022
arXiv | April 2022
-
PubTables-1M: Towards comprehensive table extraction from unstructured documents
Brandon Smock, Rohith Pesala, Robin Abraham
CVPR 2022 | August 2021
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-
-
Knowledge Propagation over Conditional Independence Graphs
Urszula Chajewska, Harsh Shrivastava
August 2023
Arxiv preprint | August 2023
-
DiversiGATE: A Comprehensive Framework for Reliable Large Language Models
Shima Imani, Ali Beyram, Harsh Shrivastava
June 2023
June 2023
-
Reconstruction of Gene Regulatory Networks using Sparse Graph Recovery Models
Harsh Shrivastava
April 2023
Arxiv preprint | April 2023
-
uGLAD: Sparse graph recovery by optimizing deep unrolled networks
Harsh Shrivastava
May 2022
arXiv preprint | May 2022
-
GriTS: Grid table similarity metric for table structure recognition
Brandon Smock, Rohith Pesala, Robin Abraham
April 2022
arXiv | April 2022
-
Discovering Distribution Shifts using Latent Space Representations
Leo Betthauser, Urszula Chajewska, Maurice Diesendruck, Rohith Pesala
February 2022
arXiv | February 2022
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Neural Graphical Models
Harsh Shrivastava, Urszula Chajewska
European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2023) | September 2023
-
Are uGLAD? Time will tell!
Shima Imani, Harsh Shrivastava
Workshop on Advanced Analytics and Learning on Temporal Data (ECML 2023) | September 2023
-
Neural Graph Revealers
Harsh Shrivastava, Urszula Chajewska
Workshop Machine Learning for Multimodal Healthcare Data (ICML 2023) | July 2023
-
MathPrompter: Mathematical Reasoning using Large Language Models
Shima Imani, Liang Du, Harsh Shrivastava
Meeting of the Association for Computational Linguistics | July 2023
-
uGLAD: A Deep Learning Model to Recover Conditional Independence Graphs
Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen
Workshop on New Frontiers in Graph Learning (NeurIPS 2022) | December 2022
-
MM-Deacon: Multimodal molecular domain embedding analysis via contrastive learning
Zhihui Guo, Pramod Kumar Sharma, Liang Du, Robin Abraham
ACL 2022 | September 2021
-
PubTables-1M: Towards comprehensive table extraction from unstructured documents
Brandon Smock, Rohith Pesala, Robin Abraham
CVPR 2022 | August 2021
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-
-
Methods for Recovering Conditional Independence Graphs: A Survey
Harsh Shrivastava, Urszula Chajewska
The Journal of Artificial Intelligence Research (JAIR) | September 2023
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