activity
20122026
most citedEvaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

80 citations · 157 across the 21 of their papers we have counts for

collaborators
Showing 2026Show all

10 papers · 1 filter

astro-ph.IM2026

The LSST Science Pipelines Software: Optical Survey Pipeline Reduction and Analysis Environment

Rubin Observatory Science Pipelines Developers, Yusra AlSayyad, Robert Armstrong +83

The NSF-DOE Vera C. Rubin Observatory is executing the Legacy Survey of Space and Time (LSST) as its prime mission, producing a series of data releases over the ten-year survey. Th…

astro-ph.GA2026

Rubin LSST DP2 unveils almost-dark galaxies in the Virgo Cluster

Minh Ngoc Le, Johan H. Knapen, Željko Ivezić +27

Galaxies with the faintest surface brightness are currently known only in the Local Group. Similar objects should exist beyond our vicinity and are crucial for understanding galaxy…

cs.AI2026

Cross-Anatomy Transfer Versus Sparse Interpolation in Digital-Twin-Oriented Aortic Fluid-Structure Interaction Surrogates

Ali Nourbakhsh, Mohammad Reza Niroomand, Erfan Nourbakhsh

Surrogate credibility for fluid-structure interac- tion (FSI) requires distinguishing transfer across independent anatomies from interpolation within an already sampled surface. Fo…

cs.CL2026

MedProb: Probing Internal Representations of Vision-Language Models for Medical Question Answering

Erfan Nourbakhsh, Ke Yang, Anthony Rios

Medical visual question answering (Med-VQA) is often assumed to require medical fine-tuning, large models, or complex multi-agent pipelines. We revisit this assumption with \textbf…

cs.CL2026

TRACER: Early Failure Detection for Task-Oriented Dialogue

Erfan Nourbakhsh, Rocky Slavin, Ke Yang +1

Task-oriented dialogue systems often fail before the final breakdown is obvious, but most evaluation only measures failure after the conversation has already gone wrong. We present…

cs.CL2026

When Retrieval Doesn't Help: A Large-Scale Study of Biomedical RAG

Erfan Nourbakhsh, Rocky Slavin, Ke Yang +1

Medical question answering is a high-stakes setting where factual errors can have serious consequences. Retrieval-augmented generation (RAG) is widely viewed as a promising solutio…

cs.LG2026

MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data

Amir Mousavi, Mohammad Sadegh Sirjani, Erfan Nourbakhsh +5

Real-time cognitive load assessment from eye-tracking signals could enable adaptive human-centered AI in safety-critical applications such as driver vigilance monitoring or automat…

cs.LG2026

CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment

Amir Mousavi, Erfan Nourbakhsh, Mohammad Sadegh Sirjani +5

Assessing cognitive load continuously and at low latency would help adaptive human-computer interaction, but it remains hard because labeled data are scarce and models generalize p…

astro-ph.IM2026★ 14 cited

The Vera C. Rubin Observatory Data Preview 1

Vera C Rubin Observatory Team, Tatiana Acero Cuellar, Emily Acosta +325

We present Rubin Data Preview 1 DP1, the first data from the NSF DOE Vera C Rubin Observatory, comprising raw and calibrated single epoch images, coadds, difference images, detecti…

cs.CL2026★ 1 cited

Prompting Underestimates LLM Capability for Time Series Classification

Dan Schumacher, Erfan Nourbakhsh, Rocky Slavin +1

Prompt-based evaluations suggest that large language models (LLMs) perform poorly on time series classification, raising doubts about whether they encode meaningful temporal struct…