2 papers
cs.LG2026
Towards Reliable ML Feature Engineering via Planning in Constrained-Topology of LLM Agents
Himanshu Thakur, Anusha Kamath, Anurag Muthyala +3
Recent advances in code generation models have unlocked unprecedented opportunities for automating feature engineering, yet their adoption in real-world ML teams remains constraine…
cs.LG2026
ProbFM: Probabilistic Time Series Foundation Model with Uncertainty Decomposition
Arundeep Chinta, Lucas Vinh Tran, Jay Katukuri
Time Series Foundation Models (TSFMs) have emerged as a promising approach for zero-shot financial forecasting, demonstrating strong transferability and data efficiency gains. Howe…