Paper-Conference

Improved Depth Estimation of Bayesian Neural Networks
This paper proposes improvements over earlier work by Nazareth and Blei (2022) for estimating the depth of Bayesian neural networks. …
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Riemannian Black Box Variational Inference
We introduce Riemannian Black Box Variational Inference (RBBVI) for scenarios lacking gradient information of the model with respect to …
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Coupled autoregressive active inference agents for control of multi-joint dynamical systems
We propose an active inference agent to identify and control a mechanical system with multiple bodies connected by joints. This agent …
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Message Passing-based Bayesian Control of a Cart-Pole System
We describe a Bayesian controller for a cart-pole system, a well-known benchmark in control theory. The cart-pole system is …
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Online Structure Learning with Dirichlet Processes through Message Passing
Generative or probabilistic modeling is crucial for developing intelligent agents that can reason about their environment. However, …
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Q-conjugate Message Passing for Efficient Bayesian Inference
Bayesian inference in nonconjugate models such as Bayesian Poisson regression often relies on computationally expensive Monte Carlo …
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Reactive Environments for Active Inference Agents with RxEnvironments.jl
Active Inference is a framework that emphasizes the interaction between agents and their environment. While the framework has seen …
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Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents
In nature, active inference agents must learn how observations of the world represent the state of the agent. In engineering, the …
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Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics
We propose a computational procedure for identifying convection in heat transfer dynamics. The procedure is based on a Gaussian process …
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Multi-Agent Trajectory Planning with NUV Priors
This paper presents a probabilistic model-based approach to centralized multi-agent trajectory planning. This approach allows for …
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