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ORCIDBrian M. Belgodere
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- affiliation: IBM Research AI
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2020 – today
- 2024
[c7]Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jarret Ross:
Risk Aware Benchmarking of Large Language Models. ICML 2024- [i11]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:
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024) - [i10]Jerret Ross, Brian Belgodere, Samuel C. Hoffman, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das:
GP-MoLFormer: A Foundation Model For Molecular Generation. CoRR abs/2405.04912 (2024) - [i9]Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan H. Greenewald, Jirí Navrátil, Jerret Ross:
Distributional Preference Alignment of LLMs via Optimal Transport. CoRR abs/2406.05882 (2024) - [i8]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:
The infrastructure powering IBM's Gen AI model development. CoRR abs/2407.05467 (2024) - 2023
- [i7]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:
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR abs/2304.10819 (2023) - [i6]Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti, Kristjan H. Greenewald, Brian Belgodere, Mikhail Yurochkin, Jirí Navrátil, Igor Melnyk, Jerret Ross:
Risk Assessment and Statistical Significance in the Age of Foundation Models. CoRR abs/2310.07132 (2023) - 2022
- [j4]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti
, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere:
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. J. Artif. Intell. Res. 73: 437-459 (2022) - [j3]Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das:
Large-scale chemical language representations capture molecular structure and properties. Nat. Mac. Intell. 4(12): 1256-1264 (2022) - [c6]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:
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. ECML/PKDD (6) 2022: 641-644 - [i5]John R. Kender, Bishwaranjan Bhattacharjee, Parijat Dube, Brian Belgodere:
G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning. CoRR abs/2207.03554 (2022) - [i4]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:
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. CoRR abs/2208.06665 (2022) - 2021
- [i3]Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das:
Do Large Scale Molecular Language Representations Capture Important Structural Information? CoRR abs/2106.09553 (2021) - 2020
- [c5]Bishwaranjan Bhattacharjee, John R. Kender, Matthew Hill, Parijat Dube, Siyu Huo, Michael R. Glass, Brian M. Belgodere, Sharath Pankanti, Noel Codella, Patrick Watson:
P2L: Predicting Transfer Learning for Images and Semantic Relations. CVPR Workshops 2020: 3284-3293 - [i2]Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere:
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. CoRR abs/2012.11696 (2020)
2010 – 2019
- 2019
- [c4]Parijat Dube, Bishwaranjan Bhattacharjee, Siyu Huo, Patrick Watson, Brian M. Belgodere:
Automatic Labeling of Data for Transfer Learning. CVPR Workshops 2019: 122-129 - [i1]Bishwaranjan Bhattacharjee, Noel Codella, John R. Kender, Siyu Huo, Patrick Watson, Michael R. Glass, Parijat Dube, Matthew Hill, Brian M. Belgodere:
P2L: Predicting Transfer Learning for Images and Semantic Relations. CoRR abs/1908.07630 (2019) - 2018
- [c3]Cédric Bourrasset, France Boillod-Cerneux, Ludovic Sauge, Myrtille Deldossi, Francois Wellenreiter, Rajesh Bordawekar, Susan Malaika, Jean-Armand Broyelle, Marc West, Brian M. Belgodere:
Requirements for an Enterprise AI Benchmark. TPCTC 2018: 71-81 - 2017
- [j2]Lorraine M. Herger, William J. Rippon, Carlos A. Fonseca, W. Pointer, Brian M. Belgodere, W. H. Cornejo, M. J. Frissora:
End-to-end service data analysis: Efficiencies achieved across the enterprise. IBM J. Res. Dev. 61(1): 1:5-1:16 (2017) - 2015
- [c2]Matthew A. McCarthy, Lorraine M. Herger, Shakil M. Khan, Brian M. Belgodere:
Composable DevOps: Automated Ontology Based DevOps Maturity Analysis. SCC 2015: 600-607 - 2013
- [j1]Lorraine M. Herger, Shakil M. Khan, Brian M. Belgodere, Mathew McCarthy:
Exploit unstructured data using deep analytics to optimise enterprise IT asset management. Int. J. Bus. Process. Integr. Manag. 6(4): 270-283 (2013) - [c1]Matthew A. McCarthy, Lorraine M. Herger, Shakil M. Khan, Brian M. Belgodere:
Unleashing Unstructured Data's Value for Enterprise IT Asset Management. IEEE SCC 2013: 511-518
Coauthor Index
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last updated on 2024-09-04 01:23 CEST by the dblp team
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