Summary of Transcendence: Generative Models Can Outperform the Experts That Train Them, by Edwin Zhang et al.
Transcendence: Generative Models Can Outperform The Experts That Train Themby Edwin Zhang, Vincent Zhu, Naomi…
Transcendence: Generative Models Can Outperform The Experts That Train Themby Edwin Zhang, Vincent Zhu, Naomi…
Calibrating Where It Matters: Constrained Temperature Scalingby Stephen McKenna, Jacob CarseFirst submitted to arxiv on:…
Self-attention-based non-linear basis transformations for compact latent space modelling of dynamic optical fibre transmission matricesby…
Reinforcement Learning Based Escape Route Generation in Low Visibility Environmentsby Hari SrikanthFirst submitted to arxiv…
Decoupling regularization from the action spaceby Sobhan Mohammadpour, Emma Frejinger, Pierre-Luc BaconFirst submitted to arxiv…
Enhancing Indoor Temperature Forecasting through Synthetic Data in Low-Data Environmentsby Zachari Thiry, Massimiliano Ruocco, Alessandro…
Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computingby…
Measuring Stochastic Data Complexity with Boltzmann Influence Functionsby Nathan Ng, Roger Grosse, Marzyeh GhassemiFirst submitted…
Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine Learningby Shengyu Tao,…
Maximum Temperature Prediction Using Remote Sensing Data Via Convolutional Neural Networkby Lorenzo Innocenti, Giacomo Blanco,…