Siddhartha Laghuvarapu

According to our database, Siddhartha Laghuvarapu authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching.

Siddhartha Laghuvarapu, Rohan Deb, Jimeng Sun

CoRR, March, 2026

ConfHit: Conformal Generative Design with Oracle Free Guarantees.

Siddhartha Laghuvarapu, Ying Jin, Jimeng Sun

CoRR, March, 2026

Making Conformal Predictors Robust in Healthcare Settings: a Case Study on EEG Classification.

Arjun Chatterjee, Sayeed Sajjad Razin, John Wu, Siddhartha Laghuvarapu, Jathurshan Pradeepkumar, Jimeng Sun

CoRR, February, 2026

PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning.

John Wu, Yongda Fan, Zhenbang Wu, Paul Landes, Eric Schrock, Sayeed Sajjad Razin, Arjun Chatterjee, Naveen Baskaran, Joshua Steier, Andrea Fitzpatrick, Bilal Arif, Rian Atri, Jathurshan Pradeepkumar, Siddhartha Laghuvarapu, Junyi Gao, Adam R. Cross, Jimeng Sun

CoRR, January, 2026

2025

MolTextQA: A Question-Answering Dataset and Benchmark for Evaluating Multimodal Architectures and LLMs on Molecular Structure-Text Understanding.

Siddhartha Laghuvarapu, Namkyeong Lee, Chufan Gao, Jimeng Sun

J. Data-centric Mach. Learn. Res., 2025

2024

Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models.

Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

GraphDDI: Graph Neural Network for Prediction of Drug-Drug Interaction.

Suyash Gupta, Siddhartha Laghuvarapu, U. Deva Priyakumar

Proceedings of the Artificial Intelligence in Healthcare - First International Conference, 2024

2023

Conformal Drug Property Prediction with Density Estimation under Covariate Shift.

Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun

CoRR, 2023

Molecular De Novo Design through Transformer-based Reinforcement Learning.

Tao Feng, Pengcheng Xu, Tianfan Fu, Siddhartha Laghuvarapu, Jimeng Sun

CoRR, 2023

CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift.

Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Benchmark study on deep neural network potentials for small organic molecules.

Rohit Modee, Siddhartha Laghuvarapu, U. Deva Priyakumar

J. Comput. Chem., 2022

2021

MoleGuLAR: Molecule Generation Using Reinforcement Learning with Alternating Rewards.

Manan Goel, Shampa Raghunathan, Siddhartha Laghuvarapu, U. Deva Priyakumar

J. Chem. Inf. Model., 2021

2020

BAND NN: A Deep Learning Framework for Energy Prediction and Geometry Optimization of Organic Small Molecules.

Siddhartha Laghuvarapu, Yashaswi Pathak, U. Deva Priyakumar

J. Comput. Chem., 2020

Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules.

Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020