Unleashing Unstructured Data's Value for Enterprise IT Asset Management. - Matthew A. McCarthy; Lorraine M. Herger; Shakil M. Khan 002; Brian M. Belgodere (IEEE SCC, 2013)

Exploit unstructured data using deep analytics to optimise enterprise IT asset management. - Lorraine M. Herger; Shakil M. Khan 002; Brian M. Belgodere; Mathew McCarthy (Int. J. Bus. Process. Integr. Manag., 2013)

Composable DevOps: Automated Ontology Based DevOps Maturity Analysis. - Matthew A. McCarthy; Lorraine M. Herger; Shakil M. Khan 002; Brian M. Belgodere (SCC, 2015)

End-to-end service data analysis: Efficiencies achieved across the enterprise. - Lorraine M. Herger; William J. Rippon; Carlos A. Fonseca; W. Pointer; Brian M. Belgodere; W. H. Cornejo; M. J. Frissora (IBM J. Res. Dev., 2017)

Requirements for an Enterprise AI Benchmark. - Cédric Bourrasset; France Boillod-Cerneux; Ludovic Sauge; Myrtille Deldossi; Francois Wellenreiter; Rajesh Bordawekar; Susan Malaika; Jean-Armand Broyelle; Marc West; Brian M. Belgodere (TPCTC, 2018)

Automatic Labeling of Data for Transfer Learning. - Parijat Dube; Bishwaranjan Bhattacharjee; Siyu Huo; Patrick Watson; Brian M. Belgodere (CVPR Workshops, 2019)

P2L: Predicting Transfer Learning for Images and Semantic Relations. - Bishwaranjan Bhattacharjee; Noel Codella; John R. Kender; Siyu Huo; Patrick Watson; Michael R. Glass; Parijat Dube; Matthew Hill; Brian M. Belgodere (CoRR, 2019)

P2L: Predicting Transfer Learning for Images and Semantic Relations. - Bishwaranjan Bhattacharjee; John R. Kender; Matthew Hill; Parijat Dube; Siyu Huo; Michael R. Glass; Brian M. Belgodere; Sharath Pankanti; Noel Codella; Patrick Watson (CVPR Workshops, 2020)

Do Large Scale Molecular Language Representations Capture Important Structural Information? - Jerret Ross; Brian Belgodere; Vijil Chenthamarakshan; Inkit Padhi; Youssef Mroueh; Payel Das (CoRR, 2021)

Cloud-Based Real-Time Molecular Screening Platform with MolFormer. - Brian Belgodere; Vijil Chenthamarakshan; Payel Das; Pierre L. Dognin; Toby Kurien; Igor Melnyk; Youssef Mroueh; Inkit Padhi; Mattia Rigotti; Jarret Ross; Yair Schiff; Richard A. Young (ECML/PKDD (6), 2022)

G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning. - John R. Kender; Bishwaranjan Bhattacharjee; Parijat Dube; Brian Belgodere (CoRR, 2022)

Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. - Pierre L. Dognin; Igor Melnyk; Youssef Mroueh; Inkit Padhi; Mattia Rigotti; Jarret Ross; Yair Schiff; Richard A. Young; Brian Belgodere (J. Artif. Intell. Res., 2022)

Large-scale chemical language representations capture molecular structure and properties. - Jerret Ross; Brian Belgodere; Vijil Chenthamarakshan; Inkit Padhi; Youssef Mroueh; Payel Das (Nat. Mac. Intell., 2022)

Risk Assessment and Statistical Significance in the Age of Foundation Models. - Apoorva Nitsure; Youssef Mroueh; Mattia Rigotti; Kristjan H. Greenewald; Brian Belgodere; Mikhail Yurochkin; Jirí Navrátil 001; Igor Melnyk; Jerret Ross (CoRR, 2023)

Risk Aware Benchmarking of Large Language Models. - Apoorva Nitsure; Youssef Mroueh; Mattia Rigotti; Kristjan H. Greenewald; Brian Belgodere; Mikhail Yurochkin; Jirí Navrátil 001; Igor Melnyk; Jarret Ross (ICML, 2024)

Distributional Preference Alignment of LLMs via Optimal Transport. - Igor Melnyk; Youssef Mroueh; Brian Belgodere; Mattia Rigotti; Apoorva Nitsure; Mikhail Yurochkin; Kristjan H. Greenewald; Jirí Navrátil 001; Jarret Ross (NeurIPS, 2024)

Granite Code Models: A Family of Open Foundation Models for Code Intelligence. - Mayank Mishra; Matt Stallone; Gaoyuan Zhang; Yikang Shen; Aditya Prasad; Adriana Meza Soria; Michele Merler; Parameswaran Selvam; Saptha Surendran; Shivdeep Singh; Manish Sethi; Xuan-Hong Dang; et al. (CoRR, 2024)

GP-MoLFormer: A Foundation Model For Molecular Generation. - Jerret Ross; Brian Belgodere; Samuel C. Hoffman; Vijil Chenthamarakshan; Youssef Mroueh; Payel Das (CoRR, 2024)

Distributional Preference Alignment of LLMs via Optimal Transport. - Igor Melnyk; Youssef Mroueh; Brian Belgodere; Mattia Rigotti; Apoorva Nitsure; Mikhail Yurochkin; Kristjan H. Greenewald; Jirí Navrátil 001; Jerret Ross (CoRR, 2024)

The infrastructure powering IBM's Gen AI model development. - Talia Gershon; Seetharami Seelam; Brian Belgodere; Milton Bonilla; Lan Hoang; Danny Barnett; I-Hsin Chung; Apoorve Mohan; Ming-Hung Chen; Lixiang Luo; Robert Walkup; Constantinos Evangelinos; et al. (CoRR, 2024)

Auditing and Generating Synthetic Data With Controllable Trust Trade-Offs. - Brian Belgodere; Pierre L. Dognin; Adam Ivankay; Igor Melnyk; Youssef Mroueh; Aleksandra Mojsilovic; Jirí Navrátil 001; Apoorva Nitsure; Inkit Padhi; Mattia Rigotti; Jerret Ross; Yair Schiff; et al. (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)

Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training. - Youssef Mroueh; Nicolas Dupuis; Brian Belgodere; Apoorva Nitsure; Mattia Rigotti; Kristjan H. Greenewald; Jirí Navrátil 001; Jerret Ross; Jesus Rios (CoRR, 2025)

GP-MoLFormer-Sim: Test Time Molecular Optimization through Contextual Similarity Guidance. - Jirí Navrátil 001; Jarret Ross; Payel Das; Youssef Mroueh; Samuel C. Hoffman; Vijil Chenthamarakshan; Brian Belgodere (CoRR, 2025)