Samuel C Hoffman

Researcher, International Business Machines

Joined

May 2021

Names

Samuel C Hoffman (Preferred)

Samuel Chung Hoffman

Samuel C. Hoffman

Emails

****@ibm.com (Confirmed)

Personal Links

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DBLP

ORCID

Career & Education History

Researcher

International Business Machines (ibm.com)

2017 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Attribute Graphs Underlying Molecular Generative Models: Path to Learning with Limited Data
Samuel C Hoffman, Payel Das, Karthikeyan Shanmugam, Kahini Wadhawan, Prasanna Sattigeri
- Accepted by TMLR
- Readers: Everyone
Searching for Fairer Machine Learning Ensembles
Michael Feffer, Martin Hirzel, Samuel C Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar
- Published: 16 May 2023, Last Modified: 05 Sept 2023
- AutoML 2023 MainTrack
- Readers: Everyone
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions
Manish Nagireddy, Moninder Singh, Samuel C. Hoffman, Evaline Ju, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
An Empirical Study of Modular Bias Mitigators and Ensembles
Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar
- 2022 (modified: 28 Feb 2022)
- CoRR 2022
- Readers: Everyone
AI Explainability 360: Impact and Design
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
- 2022 (modified: 05 Oct 2022)
- AAAI 2022
- Readers: Everyone
GT4SD: Generative Toolkit for Scientific Discovery
Matteo Manica, Joris Cadow, Dimitrios Christofidellis, Ashish Dave, Jannis Born, Dean Clarke, Yves Gaetan Nana Teukam, Samuel C. Hoffman, Matthew Buchan, Vijil Chenthamarakshan, Timothy Donovan, Hsiang-Han Hsu, Federico Zipoli, Oliver Schilter, Giorgio Giannone, Akihiro Kishimoto, Lisa Hamada, Inkit Padhi, Karl Wehden, Lauren McHugh et al. (4 additional authors not shown)
- 2022 (modified: 03 Nov 2022)
- CoRR 2022
- Readers: Everyone
Navigating Ensemble Configurations for Algorithmic Fairness
Michael Feffer, Martin Hirzel, Samuel C. Hoffman, Kiran Kate, Parikshit Ram, Avraham Shinnar
- 2022 (modified: 23 Jan 2023)
- CoRR 2022
- Readers: Everyone
Causal Graphs Underlying Generative Models: Path to Learning with Limited Data
Samuel C. Hoffman, Kahini Wadhawan, Payel Das, Prasanna Sattigeri, Karthikeyan Shanmugam
- 2022 (modified: 03 Feb 2023)
- CoRR 2022
- Readers: Everyone
Optimizing molecules using efficient queries from property evaluations
Samuel C. Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das
- 2022 (modified: 14 Apr 2023)
- Nat. Mach. Intell. 2022
- Readers: Everyone
Accelerating Inhibitor Discovery for Multiple SARS-CoV-2 Targets with a Single, Sequence-Guided Deep Generative Framework
Vijil Chenthamarakshan, Samuel C. Hoffman, C. David Owen, Petra Lukacik, Claire Strain-Damerell, Daren Fearon, Tika R. Malla, Anthony Tumber, Christopher J. Schofield, Helen M. E. Duyvesteyn, Wanwisa Dejnirattisai, Loic Carrique, Thomas S. Walter, Gavin R. Screaton, Tetiana Matviiuk, Aleksandra Mojsilovic, Jason Crain, Martin A. Walsh, David I. Stuart, Payel Das
- 2022 (modified: 24 Apr 2023)
- CoRR 2022
- Readers: Everyone

View all 29 publications

Co-Authors

View all 87 co-authors