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07/17/2023
An Admissible Shift-Consistent Method for Recommender Systems
In this paper, we propose a new constraint, called shift-consistency, fo...
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07/17/2023
Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems
In this paper we discuss pre- and post-processing methods to induce desi...
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07/04/2023
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
Modeling weather and climate is an essential endeavor to understand the ...
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02/17/2023
Utilization of domain knowledge to improve POMDP belief estimation
The partially observable Markov decision process (POMDP) framework is a ...
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01/24/2023
ClimaX: A foundation model for weather and climate
Most state-of-the-art approaches for weather and climate modeling are ba...
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01/03/2023
Machine Learning Approach to Polymerization Reaction Engineering: Determining Monomers Reactivity Ratios
Here, we demonstrate how machine learning enables the prediction of como...
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10/11/2022
ConserWeightive Behavioral Cloning for Reliable Offline Reinforcement Learning
The goal of offline reinforcement learning (RL) is to learn near-optimal...
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07/09/2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
Neural Processes (NPs) are a popular class of approaches for meta-learni...
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06/27/2022
A Simple and Scalable Tensor Completion Algorithm via Latent Invariant Constraint for Recommendation System
In this paper we provide a latent-variable formulation and solution to t...
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04/04/2022
A Unit-Consistent Tensor Completion with Applications in Recommender Systems
In this paper we introduce a new consistency-based approach for defining...
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06/14/2021
Temporal Predictive Coding For Model-Based Planning In Latent Space
High-dimensional observations are a major challenge in the application o...
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04/24/2020
Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding
The control and guidance of multi-robots (swarm) is a non-trivial proble...
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03/02/2020
Predictive Coding for Locally-Linear Control
High-dimensional observations and unknown dynamics are major challenges ...
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12/09/2019
An Interactive Indoor Drone Assistant
With the rapid advance of sophisticated control algorithms, the capabili...
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07/27/2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
The field of video compression has developed some of the most sophistica...
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10/10/2018
Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction
In apprenticeship learning (AL), agents learn by watching or acquiring h...
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03/04/2018
Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey
Swarm systems consist of large numbers of robots that collaborate autono...
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04/27/2016
