3 accepted papers
A central insight in lossless data compression is the close connection between probabilistic next-symbol prediction and efficient sequence compression, whereby predictive models can be combined with classical coding techniques to achieve strong compression performance. Applying this approach with po…
It is well-known in the field of lossless data compression that probabilistic next-symbol prediction can be used to compress sequences of symbols. Deep neural networks are able to capture rich dependencies in data, offering a powerful means of estimating these probabilities and hence an avenue towar…
In the classic Traveling Salesman Problem (TSP), the objective is to find the shortest path that visits a set of target locations. This problem is embedded and essential in many planning problems that arise in robotics, particularly in the domains of exploration, monitoring, surveillance, and reconn