works on

From the 1 of 5 linked papers with an AI index.

activity
20242026
collaborators

5 papers

cs.LG2026

Adaptive Time Series Reasoning via Segment Selection

Shvat Messica, Jiawen Zhang, Kevin Li +2

The paper presents ARTIST, a model that adaptively selects informative temporal segments of a time series to answer natural‑language questions, using a controller‑reasoner architec…

cs.LG2026

When Sensors Fail: Temporal Sequence Models for Robust PPO under Sensor Drift

Kevin Vogt-Lowell, Theodoros Tsiligkaridis, Rodney Lafuente-Mercado +4

Real-world reinforcement learning systems must operate under distributional drift in their observation streams, yet most policy architectures implicitly assume fully observed and n…

cs.AI2025

ToolUniverse: An open platform for democratizing AI scientists

Shanghua Gao, Richard Zhu, Pengwei Sui +8

AI scientists are emerging computational systems that serve as collaborative partners in discovery. These systems remain difficult to build because they are bespoke, tied to rigid…

cs.AI2025

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools

Shanghua Gao, Richard Zhu, Zhenglun Kong +5

Precision therapeutics require multimodal adaptive models that generate personalized treatment recommendations. We introduce TxAgent, an AI agent that leverages multi-step reasonin…

cs.LG2024

UniTS: A Unified Multi-Task Time Series Model

Shanghua Gao, Teddy Koker, Owen Queen +3

Although pre-trained transformers and reprogrammed text-based LLMs have shown strong performance on time series tasks, the best-performing architectures vary widely across tasks, w…