Robuta

https://openreview.net/forum?id=I6aOjhpcNQ Robust Concept Erasure via Kernelized Rate-Distortion Maximization | OpenReview Distributed representations provide a vector space that captures meaningful relationships between data instances. The distributed nature of these... rate distortionrobustconcepterasurevia https://deepai.org/publication/parallelized-rate-distortion-optimized-quantization-using-deep-learning Parallelized Rate-Distortion Optimized Quantization Using Deep Learning | DeepAI Dec 11, 2020 - 12/11/20 - Rate-Distortion Optimized Quantization (RDOQ) has played an important role in the coding performance of recent video compression s... rate distortiondeep learningparallelizedoptimizedquantization https://arxiv.org/abs/2510.08487 [2510.08487] A Rate-Distortion Bound for ISAC Abstract page for arXiv paper 2510.08487: A Rate-Distortion Bound for ISAC rate distortion251008487boundisac https://openreview.net/forum?id=jSQYB2aXOv9 On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning | OpenReview Throughout the cognitive-science literature, there is widespread agreement that decision-making agents operating in the real world do so under limited... rate distortion theoryreinforcement learning https://arxiv.org/abs/1702.05722 [1702.05722] From rate distortion theory to metric mean dimension: variational principle Abstract page for arXiv paper 1702.05722: From rate distortion theory to metric mean dimension: variational principle rate distortion theory https://deepai.org/publication/learning-fair-representations-via-rate-distortion-maximization Learning Fair Representations via Rate-Distortion Maximization | DeepAI Jan 31, 2022 - 01/31/22 - Text representations learned by machine learning models often encode undesirable demographic information of the user. Predictive m... rate distortionlearningfairrepresentationsvia