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20202026
most citedBARTSmiles: Generative Masked Language Models for Molecular Representations

15 citations · 16 across the 5 of their papers we have counts for

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cs.LG2025

GeoCrossBench: Cross-Band Generalization for Remote Sensing

Hakob Tamazyan, Ani Vanyan, Alvard Barseghyan +3

The data for remote sensing is constantly acquired, and new data comes from a growing number and diversity of satellites, while the vast majority of labeled data comes from older s…

cs.LG2024

In-context Learning in Presence of Spurious Correlations

Hrayr Harutyunyan, Rafayel Darbinyan, Samvel Karapetyan +1

Large language models exhibit a remarkable capacity for in-context learning, where they learn to solve tasks given a few examples. Recent work has shown that transformers can be tr…

cs.LG2024

Small Molecule Optimization with Large Language Models

Philipp Guevorguian, Menua Bedrosian, Tigran Fahradyan +3

Molecular optimization, the process of designing molecules with desirable properties, represents a critical challenge in drug discovery. The recent advancements in large language m…

cs.LG202215 cited

BARTSmiles: Generative Masked Language Models for Molecular Representations

Gayane Chilingaryan, Hovhannes Tamoyan, Ani Tevosyan +6

We discover a robust self-supervised strategy tailored towards molecular representations for generative masked language models through a series of tailored, in-depth ablations. Usi…

cs.LG20201 cited

Robust Classification under Class-Dependent Domain Shift

Tigran Galstyan, Hrant Khachatrian, Greg Ver Steeg +1

Investigation of machine learning algorithms robust to changes between the training and test distributions is an active area of research. In this paper we explore a special type of…