Harsh Shrivastava

31 papers A* 4C 1Misc 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation. CoRR Ali Abbasi, Shima Imani, Chenyang An, Gayathri Mahalingam, Harsh Shrivastava, Maurice Diesendruck, Hamed Pirsiavash, Pramod Sharma, Soheil Kolouri
2024	J	`jnl`	Generative Kaleidoscopic Networks. CoRR Harsh Shrivastava
2024	J	`jnl`	Methods for Recovering Conditional Independence Graphs: A Survey. J. Artif. Intell. Res. Harsh Shrivastava, Urszula Chajewska
2024	A*	`conf`	Methods for recovering conditional independence graphs (Abstract Reprint). IJCAI Harsh Shrivastava, Urszula Chajewska
2024	J	`jnl`	Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation. CoRR Chenyang An, Shima Imani, Feng Yao, Chengyu Dong, Ali Abbasi, Harsh Shrivastava, Samuel Buss, Jingbo Shang, Gayathri Mahalingam, Pramod Sharma, Maurice Diesendruck
2023	J	`jnl`	Are uGLAD? Time will tell! CoRR Shima Imani, Harsh Shrivastava
2023	J	`jnl`	DiversiGATE: A Comprehensive Framework for Reliable Large Language Models. CoRR Shima Imani, Ali Beyram, Harsh Shrivastava
2023	—	`conf`	Federated Learning with Neural Graphical Models. PKDD/ECML Workshops (5) Urszula Chajewska, Harsh Shrivastava
2023	J	`jnl`	Federated Learning with Neural Graphical Models. CoRR Urszula Chajewska, Harsh Shrivastava
2023	J	`jnl`	Knowledge Propagation over Conditional Independence Graphs. CoRR Urszula Chajewska, Harsh Shrivastava
2023	—	`conf`	MathPrompter: Mathematical Reasoning using Large Language Models. ACL (industry) Shima Imani, Liang Du, Harsh Shrivastava
2023	J	`jnl`	MathPrompter: Mathematical Reasoning using Large Language Models. CoRR Shima Imani, Liang Du, Harsh Shrivastava
2023	—	`conf`	Neural Graph Revealers. ML4MHD Harsh Shrivastava, Urszula Chajewska
2023	J	`jnl`	Neural Graph Revealers. CoRR Harsh Shrivastava, Urszula Chajewska
2023	C	`conf`	Neural Graphical Models. ECSQARU Harsh Shrivastava, Urszula Chajewska
2023	—	`conf`	tGLAD: A Sparse Graph Recovery Based Approach for Multivariate Time Series Segmentation. AALTD@ECML/PKDD Shima Imani, Harsh Shrivastava
2022	J	`jnl`	EnGRaiN: a supervised ensemble learning method for recovery of large-scale gene regulatory networks. Bioinform. Maneesha Aluru, Harsh Shrivastava, Sriram P. Chockalingam, Shruti Shivakumar, Srinivas Aluru
2022	J	`jnl`	GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks. J. Comput. Biol. Harsh Shrivastava, Xiuwei Zhang, Le Song, Srinivas Aluru
2022	J	`jnl`	Methods for Recovering Conditional Independence Graphs: A Survey. CoRR Harsh Shrivastava, Urszula Chajewska
2022	J	`jnl`	Neural Graphical Models. CoRR Harsh Shrivastava, Urszula Chajewska
2022	J	`jnl`	uGLAD: Sparse graph recovery by optimizing deep unrolled networks. CoRR Harsh Shrivastava, Urszula Chajewska, Robin Abraham, Xinshi Chen
2021	Misc	`conf`	Echo State Speech Recognition. ICASSP Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath
2021	J	`jnl`	Echo State Speech Recognition. CoRR Harsh Shrivastava, Ankush Garg, Yuan Cao, Yu Zhang, Tara N. Sainath
2021	—	`—`	On Using Inductive Biases for Designing Deep Learning Architectures. Harsh Shrivastava
2020	A*	`conf`	GLAD: Learning Sparse Graph Recovery. ICLR Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Han Liu, Le Song
2019	J	`jnl`	AntMan: Sparse Low-Rank Compression to Accelerate RNN inference. CoRR Samyam Rajbhandari, Harsh Shrivastava, Yuxiong He
2019	J	`jnl`	Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification. CoRR Harsh Shrivastava, Eugene Bart, Bob Price, Hanjun Dai, Bo Dai, Srinivas Aluru
2019	J	`jnl`	GLAD: Learning Sparse Graph Recovery. CoRR Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song
2018	A*	`conf`	Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification. NeurIPS Harsh Shrivastava, Eugene Bart, Bob Price, Hanjun Dai, Bo Dai, Srinivas Aluru
2017	A*	`conf`	ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets. AAAI Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava
2015	—	`conf`	Classification with imbalance: A similarity-based method for predicting respiratory failure. BIBM Harsh Shrivastava, Vijay Huddar, Sakyajit Bhattacharya, Vaibhav Rajan