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08/23/2023
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures
Segmenting cells and tracking their motion over time is a common task in...
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07/12/2023
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
Recent reinforcement learning (RL) methods have achieved success in vari...
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07/06/2023
UAV Swarms for Joint Data Ferrying and Dynamic Cell Coverage via Optimal Transport Descent and Quadratic Assignment
Both data ferrying with disruption-tolerant networking (DTN) and mobile ...
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04/15/2023
An Instance Segmentation Dataset of Yeast Cells in Microstructures
Extracting single-cell information from microscopy data requires accurat...
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04/13/2023
Bayesian Inference for Jump-Diffusion Approximations of Biochemical Reaction Networks
Biochemical reaction networks are an amalgamation of reactions where eac...
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03/29/2023
Probabilistic inverse optimal control with local linearization for non-linear partially observable systems
Inverse optimal control methods can be used to characterize behavior in ...
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03/19/2023
Multi-Agent Reinforcement Learning via Mean Field Control: Common Noise, Major Agents and Approximation Properties
Recently, mean field control (MFC) has provided a tractable and theoreti...
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10/17/2022
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains
Hidden semi-Markov Models (HSMM's) - while broadly in use - are restrict...
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10/17/2022
Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels
Whole Slide Image (WSI) analysis is a powerful method to facilitate the ...
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09/27/2022
Reinforcement Learning with Non-Exponential Discounting
Commonly in reinforcement learning (RL), rewards are discounted over tim...
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09/15/2022
Scalable Task-Driven Robotic Swarm Control via Collision Avoidance and Learning Mean-Field Control
In recent years, reinforcement learning and its multi-agent analogue hav...
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09/08/2022
Mean Field Games on Weighted and Directed Graphs via Colored Digraphons
The field of multi-agent reinforcement learning (MARL) has made consider...
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09/08/2022
Learning Sparse Graphon Mean Field Games
Although the field of multi-agent reinforcement learning (MARL) has made...
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09/08/2022
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning
The analysis and control of large-population systems is of great interes...
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09/08/2022
Optimal Offloading Strategies for Edge-Computing via Mean-Field Games and Control
The optimal offloading of tasks in heterogeneous edge-computing scenario...
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08/29/2022
Decentralized Coordination in Partially Observable Queueing Networks
We consider communication in a fully cooperative multi-agent system, whe...
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08/09/2022
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems
Recent years have seen a great increase in the capacity and parallel pro...
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05/18/2022
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems
Switching dynamical systems are an expressive model class for the analys...
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05/14/2022
ACID: A Low Dimensional Characterization of Markov-Modulated and Self-Exciting Counting Processes
The conditional intensity (CI) of a counting process Y_t is based on the...
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03/30/2022
Hypergraphon Mean Field Games
We propose an approach to modelling large-scale multi-agent dynamical sy...
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02/21/2022
PAQMAN: A Principled Approach to Active Queue Management
Active Queue Management (AQM) aims to prevent bufferbloat and serial dro...
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02/02/2022
Dynamic Time Slot Allocation Algorithm for Quadcopter Swarms
A swarm of quadcopters can perform cooperative tasks, such as monitoring...
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11/29/2021
Learning Graphon Mean Field Games and Approximate Nash Equilibria
Recent advances at the intersection of dense large graph limits and mean...
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10/20/2021
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data
Convolutional neural networks (CNNs) are the current state-of-the-art me...
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09/29/2021
Variational Inference for Continuous-Time Switching Dynamical Systems
Switching dynamical systems provide a powerful, interpretable modeling f...
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09/17/2021
Scheduling in Parallel Finite Buffer Systems: Optimal Decisions under Delayed Feedback
Scheduling decisions in parallel queuing systems arise as a fundamental ...
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06/29/2021
Tensor-train approximation of the chemical master equation and its application for parameter inference
In this work, we perform Bayesian inference tasks for the chemical maste...
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06/15/2021
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy
Time-lapse fluorescent microscopy (TLFM) combined with predictive mathem...
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05/31/2021
Active Learning of Continuous-time Bayesian Networks through Interventions
We consider the problem of learning structures and parameters of Continu...
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04/30/2021
Decentralized Swarm Collision Avoidance for Quadrotors via End-to-End Reinforcement Learning
Collision avoidance algorithms are of central interest to many drone app...
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04/30/2021
Discrete-Time Mean Field Control with Environment States
Multi-agent reinforcement learning methods have shown remarkable potenti...
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03/01/2021
Moment-Based Variational Inference for Stochastic Differential Equations
Existing deterministic variational inference approaches for diffusion pr...
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02/02/2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
The recent mean field game (MFG) formalism facilitates otherwise intract...
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01/08/2021
Maximizing Information Gain for the Characterization of Biomolecular Circuits
Quantitatively predictive models of biomolecular circuits are important ...
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11/19/2020
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures
Detecting and segmenting object instances is a common task in biomedical...
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11/16/2020
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning
Cell segmentation is a major bottleneck in extracting quantitative singl...
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10/02/2020
POMDPs in Continuous Time and Discrete Spaces
Many processes, such as discrete event systems in engineering or populat...
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09/20/2020
On the Throughput Optimization in Large-Scale Batch-Processing Systems
We analyze a data-processing system with n clients producing jobs which ...
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08/19/2020
A Finite Volume Method for Continuum Limit Equations of Nonlocally Interacting Active Chiral Particles
The continuum description of active particle systems is an efficient ins...
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07/01/2020
Continuous-Time Bayesian Networks with Clocks
Structured stochastic processes evolving in continuous time present a wi...
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07/01/2020
Augmenting Continuous-Time Bayesian Networks with Clocks
Structured stochastic processes evolving in continuous time present a wi...
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12/04/2019
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes
Coordinating multiple interacting agents to achieve a common goal is a d...
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09/11/2019
Correlation Priors for Reinforcement Learning
Many decision-making problems naturally exhibit pronounced structures in...
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09/10/2019
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Continuous-time Bayesian Networks (CTBNs) represent a compact yet powerf...
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05/14/2019
Moment-Based Variational Inference for Markov Jump Processes
We propose moment-based variational inference as a flexible framework fo...
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01/17/2019
CBA: Contextual Quality Adaptation for Adaptive Bitrate Video Streaming (Extended Version)
Recent advances in quality adaptation algorithms leave adaptive bitrate ...
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12/29/2018
A Comprehensive Analysis of Swarming-based Live Streaming to Leverage Client Heterogeneity
Due to missing IP multicast support on an Internet scale, over-the-top m...
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09/12/2018
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
Continuous-time Bayesian networks (CTBNs) constitute a general and power...
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09/10/2018
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis
Group factor analysis (GFA) methods have been widely used to infer the c...
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03/01/2018