most citedAstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data

3 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2026

How Intervention History Changes AI Agent Sabotage on Subsequent Tasks

Daniel Saeedi, Amirali Aghazadeh

AI control evaluations often reset agents' memory between tasks, although deployed agents may retain records of prior interventions. We ask whether learning that an earlier attack…

cs.LG2026

Circuit Tracing in Autoregressive Protein Language Models

Darin Tsui, William Deinzer, Daniel Saeedi +1

Protein language models (pLMs) can generate novel protein sequences with properties beyond those observed in nature, yet the mechanisms underlying protein generation remain poorly…

cs.LG2026★ 1 cited

Protein Circuit Tracing via Cross-layer Transcoders

Darin Tsui, Kunal Talreja, Daniel Saeedi +1

Protein language models (pLMs) have emerged as powerful predictors of protein structure and function. However, the computational circuits underlying their predictions remain poorly…

eess.IV2025★ 1 cited

cryoSENSE: Compressive Sensing Enables High-throughput Microscopy with Sparse and Generative Priors on the Protein Cryo-EM Image Manifold

Zain Shabeeb, Daniel Saeedi, Darin Tsui +2

Cryo-electron microscopy (cryo-EM) enables the atomic-resolution visualization of biomolecules; however, modern direct detectors generate data volumes that far exceed the available…

cs.AI2025★ 3 cited

AstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data

Daniel Saeedi, Denise Buckner, Jose C. Aponte +1

With upcoming sample return missions across the solar system and the increasing availability of mass spectrometry data, there is an urgent need for methods that analyze such data w…