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Samuel C. Hoffman

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

5

Venues

4

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

5 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIGP-MoLFormer-Sim: Test Time Molecular Optimization Through Contextual Similarity Guidance.Jir Navrtil, Jarret Ross, Payel Das, Youssef Mroueh, Samuel C. Hoffman, Vijil Chenthamarakshan, Brian Belgodere
2022AAAIAI 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
2022ICASSPAugmenting Molecular Deep Generative Models with Topological Data Analysis Representations.Yair Schiff, Vijil Chenthamarakshan, Samuel C. Hoffman, Karthikeyan Natesan Ramamurthy, Payel Das
2021COMADAI Explainability 360 Toolkit.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
2020KDDCombinatorial Black-Box Optimization with Expert Advice.Hamid Dadkhahi, Karthikeyan Shanmugam, Jesus Rios, Payel Das, Samuel C. Hoffman, Troy David Loeffler, Subramanian Sankaranarayanan