Jerret Ross

IBM (United States) — United States

Computer Science · Physical Sciences

9h-index604citations25works3.82yr avg
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Research Topics

Computational Drug Discovery Methods(6), Human Pose and Action Recognition(4), Machine Learning in Materials Science(4), Neural Networks and Applications(3), Image and Signal Denoising Methods(3)

Publications25 total

Property-driven localization and characterization in deep molecular representations
Scientific Reports·2025Open Access
Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
arXiv (Cornell University)·2025Open Access
GP-MoLFormer: a foundation model for molecular generation
Digital Discovery·2025· 5 citedOpen Access
Distributional Preference Alignment of LLMs via Optimal Transport
arXiv (Cornell University)·2024· 2 citedOpen Access
GP-MoLFormer: A Foundation Model For Molecular Generation
arXiv (Cornell University)·2024· 9 citedOpen Access
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
IEEE Journal on Emerging and Selected Topics in Circuits and Systems·2024· 7 citedOpen Access
Risk Aware Benchmarking of Large Language Models
arXiv (Cornell University)·2023Open Access
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
arXiv (Cornell University)·2023· 4 citedOpen Access
Large-scale chemical language representations capture molecular structure and properties
Nature Machine Intelligence·2022· 398 cited
Molformer: Large Scale Chemical Language Representations Capture Molecular Structure and Properties
2022· 22 citedOpen Access
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties
arXiv (Cornell University)·2021· 31 citedOpen Access
Do Large Scale Molecular Language Representations Capture Important Structural Information
arXiv (Cornell University)·2021· 11 citedOpen Access
Tabular Transformers for Modeling Multivariate Time Series
2021· 6 citedOpen Access
Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis
arXiv (Cornell University)·2020· 9 citedOpen Access
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets
arXiv (Cornell University)·2019· 21 citedOpen Access
Towards Better Understanding of Adaptive Gradient Algorithms in\n Generative Adversarial Nets
arXiv (Cornell University)·2019· 10 citedOpen Access
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
arXiv (Cornell University)·2019· 34 citedOpen Access
Improved Adversarial Image Captioning
International Conference on Learning Representations·2019· 2 cited
Wasserstein Barycenter Model Ensembling
arXiv (Cornell University)·2019· 15 citedOpen Access
Improved Image Captioning with Adversarial Semantic Alignment.
arXiv (Cornell University)·2018· 13 citedOpen Access
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Frequent Co-authors

Youssef Mroueh(19), Brian Belgodere(12), Payel Das(10), Igor Melnyk(8), Vijil Chenthamarakshan(7), Inkit Padhi(7), Pierre Dognin(6), Mattia Rigotti(6), Jiří Navrátil(5), Apoorva Nitsure(5), Mingrui Liu(3), Xiaodong Cui(3), Tianbao Yang(3), Tom Sercu(3), Yair Schiff(3), Kristjan Greenewald(3), Samuel C. Hoffman(2), Adam Ivankay(2), Aleksandra Mojsilovic(2), Radhika Vedpathak(2)