Harsh Shrivastava

J. Artif. Intell. Res., 2024

Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation.

[BibT_eX]

[DOI]

CoRR, 2024

Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Generative Kaleidoscopic Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Methods for recovering conditional independence graphs (Abstract Reprint).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Knowledge Propagation over Conditional Independence Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

DiversiGATE: A Comprehensive Framework for Reliable Large Language Models.

[BibT_eX]

[DOI]

Ali Beyram

CoRR, 2023

Are uGLAD? Time will tell!

[BibT_eX]

[DOI]

CoRR, 2023

Federated Learning with Neural Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Neural Graph Revealers.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

Neural Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

MathPrompter: Mathematical Reasoning using Large Language Models.

[BibT_eX]

[DOI]

Liang Du

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

tGLAD: A Sparse Graph Recovery Based Approach for Multivariate Time Series Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks.

[BibT_eX]

[DOI]

J. Comput. Biol., 2022

uGLAD: Sparse graph recovery by optimizing deep unrolled networks.

[BibT_eX]

[DOI]

CoRR, 2022

EnGRaiN: a supervised ensemble learning method for recovery of large-scale gene regulatory networks.

[BibT_eX]

[DOI]

Maneesha Aluru

Sriram P. Chockalingam

Shruti Shivakumar

Srinivas Aluru

Bioinform., 2022

2021

On Using Inductive Biases for Designing Deep Learning Architectures.

[BibT_eX]

[DOI]

PhD thesis, 2021

Echo State Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

GLAD: Learning Sparse Graph Recovery.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

AntMan: Sparse Low-Rank Compression to Accelerate RNN inference.

[BibT_eX]

[DOI]

Samyam Rajbhandari

Yuxiong He

CoRR, 2019

GLAD: Learning Sparse Graph Recovery.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets.

[BibT_eX]

[DOI]

Sakyajit Bhattacharya

Vaibhav Rajan

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Classification with imbalance: A similarity-based method for predicting respiratory failure.

[BibT_eX]

[DOI]