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ORCIDHarsh Shrivastava 0001
Person information
- affiliation: Microsoft Research, Redmond
- affiliation (PhD 2021): Georgia Institute of Technology, Atlanta, GA, USA
Other persons with the same name
- Harsh Shrivastava 0002
![[0000-0001-5586-0719]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5586-0719")
— National University of Singapore, MIDAS Lab, Singapore
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2020 – today
- 2024
[j3]Harsh Shrivastava, Urszula Chajewska:
Methods for Recovering Conditional Independence Graphs: A Survey. J. Artif. Intell. Res. 80: 593-612 (2024)- [c10]Harsh Shrivastava, Urszula Chajewska:
Methods for recovering conditional independence graphs (Abstract Reprint). IJCAI 2024: 8484 - [i15]Harsh Shrivastava:
Generative Kaleidoscopic Networks. CoRR abs/2402.11793 (2024) - [i14]Chenyang An, Shima Imani, Feng Yao, Chengyu Dong, Ali Abbasi, Harsh Shrivastava, Samuel Buss, Jingbo Shang, Gayathri Mahalingam, Pramod Sharma, Maurice Diesendruck:
Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation. CoRR abs/2411.00863 (2024) - 2023
- [c9]Shima Imani, Harsh Shrivastava:
tGLAD: A Sparse Graph Recovery Based Approach for Multivariate Time Series Segmentation. AALTD@ECML/PKDD 2023: 176-189 - [c8]Shima Imani, Liang Du, Harsh Shrivastava:
MathPrompter: Mathematical Reasoning using Large Language Models. ACL (industry) 2023: 37-42 - [c7]Harsh Shrivastava, Urszula Chajewska:
Neural Graphical Models. ECSQARU 2023: 284-307 - [c6]Harsh Shrivastava, Urszula Chajewska:
Neural Graph Revealers. ML4MHD 2023: 7-25 - [i13]Harsh Shrivastava, Urszula Chajewska:
Neural Graph Revealers. CoRR abs/2302.13582 (2023) - [i12]Shima Imani, Liang Du, Harsh Shrivastava:
MathPrompter: Mathematical Reasoning using Large Language Models. CoRR abs/2303.05398 (2023) - [i11]Shima Imani, Harsh Shrivastava:
Are uGLAD? Time will tell! CoRR abs/2303.11647 (2023) - [i10]Shima Imani, Ali Beyram, Harsh Shrivastava:
DiversiGATE: A Comprehensive Framework for Reliable Large Language Models. CoRR abs/2306.13230 (2023) - [i9]Urszula Chajewska, Harsh Shrivastava:
Knowledge Propagation over Conditional Independence Graphs. CoRR abs/2308.05857 (2023) - [i8]Urszula Chajewska, Harsh Shrivastava:
Federated Learning with Neural Graphical Models. CoRR abs/2309.11680 (2023) - 2022
- [j2]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): 1312-1319 (2022) - [j1]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): 27-44 (2022) - [i7]Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen:
uGLAD: Sparse graph recovery by optimizing deep unrolled networks. CoRR abs/2205.11610 (2022) - [i6]Harsh Shrivastava, Urszula Chajewska:
Neural Graphical Models. CoRR abs/2210.00453 (2022) - [i5]Harsh Shrivastava, Urszula Chajewska:
Methods for Recovering Conditional Independence Graphs: A Survey. CoRR abs/2211.06829 (2022) - 2021
- [b1]Harsh Shrivastava:
On Using Inductive Biases for Designing Deep Learning Architectures. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - [c5]Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath:
Echo State Speech Recognition. ICASSP 2021: 5669-5673 - [i4]Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath:
Echo State Speech Recognition. CoRR abs/2102.09114 (2021) - 2020
- [c4]Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song:
GLAD: Learning Sparse Graph Recovery. ICLR 2020
2010 – 2019
- 2019
- [i3]Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song:
GLAD: Learning Sparse Graph Recovery. CoRR abs/1906.00271 (2019) - [i2]Harsh Shrivastava, Eugene Bart, Bob Price, Hanjun Dai, Bo Dai, Srinivas Aluru:
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification. CoRR abs/1906.00291 (2019) - [i1]Samyam Rajbhandari, Harsh Shrivastava, Yuxiong He:
AntMan: Sparse Low-Rank Compression to Accelerate RNN inference. CoRR abs/1910.01740 (2019) - 2018
- [c3]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: 4130-4140 - 2017
- [c2]Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava:
ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. AAAI 2017: 1288-1294 - 2015
- [c1]Harsh Shrivastava, Vijay Huddar, Sakyajit Bhattacharya, Vaibhav Rajan:
Classification with imbalance: A similarity-based method for predicting respiratory failure. BIBM 2015: 707-714
Coauthor Index
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