Siddhartha Laghuvarapu

15 papers A* 2A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ConfHit: Conformal Generative Design with Oracle Free Guarantees. CoRR Siddhartha Laghuvarapu, Ying Jin, Jimeng Sun
2026	J	`jnl`	KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching. CoRR Siddhartha Laghuvarapu, Rohan Deb, Jimeng Sun
2026	J	`jnl`	Making Conformal Predictors Robust in Healthcare Settings: a Case Study on EEG Classification. CoRR Arjun Chatterjee, Sayeed Sajjad Razin, John Wu, Siddhartha Laghuvarapu, Jathurshan Pradeepkumar, Jimeng Sun
2026	J	`jnl`	PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning. CoRR 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
2025	J	`jnl`	MolTextQA: A Question-Answering Dataset and Benchmark for Evaluating Multimodal Architectures and LLMs on Molecular Structure-Text Understanding. J. Data-centric Mach. Learn. Res. Siddhartha Laghuvarapu, Namkyeong Lee, Chufan Gao, Jimeng Sun
2024	—	`conf`	GraphDDI: Graph Neural Network for Prediction of Drug-Drug Interaction. AIiH (1) Suyash Gupta, Siddhartha Laghuvarapu, U. Deva Priyakumar
2024	A	`conf`	Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. CIKM Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun
2024	J	`jnl`	Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. CoRR Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun
2023	A*	`conf`	CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift. NeurIPS Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun
2023	J	`jnl`	Conformal Drug Property Prediction with Density Estimation under Covariate Shift. CoRR Siddhartha Laghuvarapu, Zhen Lin, Jimeng Sun
2023	J	`jnl`	Molecular De Novo Design through Transformer-based Reinforcement Learning. CoRR Tao Feng, Pengcheng Xu, Tianfan Fu, Siddhartha Laghuvarapu, Jimeng Sun
2022	J	`jnl`	Benchmark study on deep neural network potentials for small organic molecules. J. Comput. Chem. Rohit Modee, Siddhartha Laghuvarapu, U. Deva Priyakumar
2021	J	`jnl`	MoleGuLAR: Molecule Generation Using Reinforcement Learning with Alternating Rewards. J. Chem. Inf. Model. Manan Goel, Shampa Raghunathan, Siddhartha Laghuvarapu, U. Deva Priyakumar
2020	J	`jnl`	BAND NN: A Deep Learning Framework for Energy Prediction and Geometry Optimization of Organic Small Molecules. J. Comput. Chem. Siddhartha Laghuvarapu, Yashaswi Pathak, U. Deva Priyakumar
2020	A*	`conf`	Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules. AAAI Yashaswi Pathak, Siddhartha Laghuvarapu, Sarvesh Mehta, U. Deva Priyakumar