This project was produced in colaboration with Claude-4-MAX, but the the original evaluation function was written by the author. Also, when we say "playing with AI" we do not mean LLMs, we simply mean ...
Abstract: Distributed minimax optimization is essential for robust federated learning, offering resiliency against the variability in data distribution. Most previous works focus only on learning ...
Abstract: This paper investigates efficient algorithm for Markov Decision Processes (MDPs) through Linear programming (LP). Generally, solving large-scale MDPs via standard LP solvers faces ...
MiniMax, a Chinese rival to OpenAI (OPENAI), unveiled its new M2.1 artificial intelligence model on Tuesday, stating it is “significantly enhanced” over previous offerings. Some of the highlights of ...
The quality of the latent space in visual tokenizers (e.g., VAEs) is crucial for modern generative models. However, the standard reconstruction-based training paradigm produces a latent space that is ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback