Brian M. Belgodere

According to our database, Brian M. Belgodere authored at least 20 papers between 2013 and 2024.

Collaborative distances:

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

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, Shweta Salaria, Marc Dombrowa, Yoonho Park, Apo Kayi, Liran Schour, Alim Alim, Ali Sydney, Pavlos Maniotis, Laurent Schares, Bernard Metzler, Bengi Karacali-Akyamac, Sophia Wen, Tatsuhiro Chiba, Sunyanan Choochotkaew, Takeshi Yoshimura, Claudia Misale, Tonia Elengikal, Kevin O. Connor, Zhuoran Liu, Richard Molina, Lars Schneidenbach, James Caden, Christopher Laibinis, Carlos Fonseca, Vasily Tarasov, Swaminathan Sundararaman, Frank B. Schmuck, Scott Guthridge, Jeremy Cohn, Marc Eshel, Paul Muench, Runyu Liu, William Pointer, Drew Wyskida, Bob Krull, Ray Rose, Brent Wolfe, William Cornejo, John Walter, Colm Malone, Clifford Perucci, Frank Franco, Nigel Hinds, Bob Calio, Pavel Druyan, Robert Kilduff, John Kienle, Connor McStay, Andrew Figueroa, Matthew Connolly, Edie Fost, Gina Roma, Jake Fonseca, Ido Levy, Michele Payne, Ryan Schenkel, Amir Malki, Lion Schneider, Aniruddha Narkhede, Shekeba Moshref, Alexandra Kisin, Olga Dodin, Bill Rippon, Henry Wrieth, John Ganci, Johnny Colino, Donna Habeger-Rose, Rakesh Pandey, Aditya Gidh, Aditya Gaur, Dennis Patterson, Samsuddin Salmani, Rambilas Varma, Rumana Rumana, Shubham Sharma, Mayank Mishra, Rameswar Panda, Aditya Prasad, Matt Stallone, Gaoyuan Zhang, Yikang Shen, David Cox, Ruchir Puri, Dakshi Agrawal, Drew Thorstensen, Joel Belog, Brent Tang

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, Jerret Ross

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

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, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda

CoRR, 2024

Risk Aware Benchmarking of Large Language Models.

Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jarret Ross

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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, Igor Melnyk, Jerret Ross

CoRR, 2023

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, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young

CoRR, 2023

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., December, 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

G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning.

John R. Kender, Bishwaranjan Bhattacharjee, Parijat Dube, Brian Belgodere

CoRR, 2022

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Do Large Scale Molecular Language Representations Capture Important Structural Information?

Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das

CoRR, 2021

2020

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Automatic Labeling of Data for Transfer Learning.

Parijat Dube, Bishwaranjan Bhattacharjee, Siyu Huo, Patrick Watson, Brian M. Belgodere

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

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

Proceedings of the Performance Evaluation and Benchmarking for the Era of Artificial Intelligence, 2018

2017

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

2015

Composable DevOps: Automated Ontology Based DevOps Maturity Analysis.

Matthew A. McCarthy, Lorraine M. Herger, Shakil M. Khan, Brian M. Belgodere

Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

2013

Exploit unstructured data using deep analytics to optimise enterprise IT asset management.

Lorraine M. Herger, Shakil M. Khan, Brian M. Belgodere, Mathew McCarthy

Int. J. Bus. Process. Integr. Manag., 2013

Unleashing Unstructured Data's Value for Enterprise IT Asset Management.

Matthew A. McCarthy, Lorraine M. Herger, Shakil M. Khan, Brian M. Belgodere

Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013