1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.RO2021★ 1 cited
What data do we need for training an AV motion planner?
Long Chen, Lukas Platinsky, Stefanie Speichert +6
We investigate what grade of sensor data is required for training an imitation-learning-based AV planner on human expert demonstration. Machine-learned planners are very hungry for…
cs.LG2018
Learning Probabilistic Logic Programs in Continuous Domains
Stefanie Speichert, Vaishak Belle
The field of statistical relational learning aims at unifying logic and probability to reason and learn from data. Perhaps the most successful paradigm in the field is probabilisti…
cs.LG2018
Tractable Querying and Learning in Hybrid Domains via Sum-Product Networks
Andreas Bueff, Stefanie Speichert, Vaishak Belle
Probabilistic representations, such as Bayesian and Markov networks, are fundamental to much of statistical machine learning. Thus, learning probabilistic representations directly…