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06/07/2023
Multi-modal Latent Diffusion
Multi-modal data-sets are ubiquitous in modern applications, and multi-m...
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05/30/2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models
Generative Models (GMs) have attracted considerable attention due to the...
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03/01/2023
Continuous-Time Functional Diffusion Processes
We introduce functional diffusion processes (FDPs), which generalize tra...
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01/07/2023
"It's a Match!" – A Benchmark of Task Affinity Scores for Joint Learning
While the promises of Multi-Task Learning (MTL) are attractive, characte...
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06/10/2022
How Much is Enough? A Study on Diffusion Times in Score-based Generative Models
Score-based diffusion models are a class of generative models whose dyna...
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04/13/2022
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning
When learning to act in a stochastic, partially observable environment, ...
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04/11/2022
Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios
When learning to behave in a stochastic environment where safety is crit...
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04/04/2022
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?
Anomaly detection in time series is a complex task that has been widely ...
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09/21/2021
Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses?
In Multi-Task Learning (MTL), it is a common practice to train multi-tas...
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06/30/2021
Revisiting the Effects of Stochasticity for Hamiltonian Samplers
We revisit the theoretical properties of Hamiltonian stochastic differen...
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06/11/2021
Model Selection for Bayesian Autoencoders
We develop a novel method for carrying out model selection for Bayesian ...
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11/10/2020
Sparse within Sparse Gaussian Processes using Neighbor Information
Approximations to Gaussian processes based on inducing variables, combin...
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10/19/2020
Learning Optimal Conditional Priors For Disentangled Representations
A large part of the literature on learning disentangled representations ...
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06/17/2020
Maximum Roaming Multi-Task Learning
Multi-task learning has gained popularity due to the advantages it provi...
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06/09/2020
Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling
In this work we define a unified mathematical framework to deepen our un...
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06/08/2020
A Variational View on Bootstrap Ensembles as Bayesian Inference
In this paper, we employ variational arguments to establish a connection...
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03/16/2020
Model Monitoring and Dynamic Model Selection in Travel Time-series Forecasting
Accurate travel products price forecasting is a highly desired feature t...
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11/15/2019
LIBRE: Learning Interpretable Boolean Rule Ensembles
We present a novel method - LIBRE - to learn an interpretable classifier...
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10/21/2019
Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD
Large scale machine learning is increasingly relying on distributed opti...
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02/28/2019
A comparative evaluation of novelty detection algorithms for discrete sequences
The identification of anomalies in temporal data is a core component of ...
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10/18/2018
Good Initializations of Variational Bayes for Deep Models
Stochastic variational inference is an established way to carry out appr...
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07/01/2018
A Data-Driven Approach to Dynamically Adjust Resource Allocation for Compute Clusters
Nowadays, data-centers are largely under-utilized because resource alloc...
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05/28/2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
In this paper, we study the problem of deriving fast and accurate classi...
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05/26/2018
Calibrating Deep Convolutional Gaussian Processes
The wide adoption of Convolutional Neural Networks (CNNs) in application...
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05/22/2018
Cache-based Multi-query Optimization for Data-intensive Scalable Computing Frameworks
In modern large-scale distributed systems, analytics jobs submitted by v...
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02/13/2018
Elastic Provisioning of Cloud Caches: a Cost-aware TTL Approach
We consider elastic resource provisioning in the cloud, focusing on in-m...
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10/14/2016
