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07/19/2023
AGAR: Attention Graph-RNN for Adaptative Motion Prediction of Point Clouds of Deformable Objects
This paper focuses on motion prediction for point cloud sequences in the...
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07/07/2023
Online Network Source Optimization with Graph-Kernel MAB
We propose Grab-UCB, a graph-kernel multi-arms bandit algorithm to learn...
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02/17/2023
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
This work introduces MiDi, a diffusion model for jointly generating mole...
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10/18/2022
Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm
Various approaches have been developed to upper bound the generalization...
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10/02/2022
Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
Generalization error boundaries are essential for comprehending how well...
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09/30/2022
Explaining Hierarchical Features in Dynamic Point Cloud Processing
This paper aims at bringing some light and understanding to the field of...
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09/15/2022
Semi-Counterfactual Risk Minimization Via Neural Networks
Counterfactual risk minimization is a framework for offline policy optim...
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02/24/2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
A common assumption in semi-supervised learning is that the labeled, unl...
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12/17/2021
From 3-DoF to 6-DoF: New Metrics to Analyse Users Behaviour in Immersive Applications
This work focuses on enabling user-centric immersive systems, in which e...
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11/02/2021
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm
We provide an information-theoretic analysis of the generalization abili...
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07/28/2021
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information
Bounding the generalization error of a supervised learning algorithm is ...
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02/15/2021
Spatio-temporal Graph-RNN for Point Cloud Prediction
In this paper, we propose an end-to-end learning network to predict futu...
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02/03/2021
Information-Theoretic Bounds on the Moments of the Generalization Error of Learning Algorithms
Generalization error bounds are critical to understanding the performanc...
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10/23/2020
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms
Generalization error bounds are critical to understanding the performanc...
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07/31/2020
Graph signal processing for machine learning: A review and new perspectives
The effective representation, processing, analysis, and visualization of...
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06/04/2020
Differentiable Linear Bandit Algorithm
Upper Confidence Bound (UCB) is arguably the most commonly used method f...
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10/22/2019
State2vec: Off-Policy Successor Features Approximators
A major challenge in reinforcement learning (RL) is the design of agents...
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07/12/2019
Laplacian-regularized graph bandits: Algorithms and theoretical analysis
We study contextual multi-armed bandit problems in the case of multiple ...
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02/11/2019
Error Analysis on Graph Laplacian Regularized Estimator
We provide a theoretical analysis of the representation learning problem...
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01/16/2019
Representation Learning on Graphs: A Reinforcement Learning Application
In this work, we study value function approximation in reinforcement lea...
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11/13/2018
Spherical clustering of users navigating 360^∘ content
In Virtual Reality (VR) applications, understanding how users explore th...
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07/31/2018
Graph-Based Recommendation System
In this work, we study recommendation systems modelled as contextual mul...
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04/10/2018
The Sum-Rate-Distortion Region of Correlated Gauss-Markov Sources
We derive the sum-rate-distortion region for a generic number of success...
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02/25/2018
Adaptive Streaming in Interactive Multiview Video Systems
Multiview applications endow final users with the possibility to freely ...
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01/27/2018
