From the 1 of 10 linked papers with an AI index.
10 papers
Tractable General Equilibrium
Denizalp Goktas, Klára Chura, Alp Emin Guneri +1
The paper formulates Walrasian general equilibrium problems as variational inequalities and introduces mirror extragradient algorithms, called mirror extratâtonnement, that converg…
Towards Learning Representations of Policies in Two-Player Zero-Sum Imperfect-Information Games
Kevin Wang, Kevin Yang, Arjun Prakash +1
We investigate the problem of learning useful policy representations (embeddings) in two-player zero-sum imperfect-information games. We make three contributions: First, we introdu…
Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning
Arjun Prakash, Naicheng He, Kaicheng Guo +5
We investigate why deep neural networks suffer from loss of plasticity in continual learning, and thus fail to learn new tasks without reinitializing parameters. We show that this…
Distilling Game Code World Model Generation into Lightweight Large Language Models
Tyrone Serapio, Arjun Prakash, Haoyang Xu +2
Large Language Models (LLMs) have shown great ability in generating executable code from natural language, opening the possibility of automatically constructing environments for AI…
Chronax: A Jax Library for Univariate Statistical Forecasting and Conformal Inference
Xan Carey, Yash Deshmukh, Aileen Huang +7
Time-series forecasting is central to many scientific and industrial domains, such as energy systems, climate modeling, finance, and retail. While forecasting methods have evolved…
TempusBench: An Evaluation Framework for Time-Series Forecasting
Denizalp Goktas, Gerardo Riaño-Briceño, Alif Abdullah +10
Foundation models have transformed natural language processing and computer vision, and a rapidly growing literature on time-series foundation models (TSFMs) seeks to replicate thi…