
Graphical Normalizing Flows
Normalizing flows model complex probability distributions by combining a...
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A ContextAware Loss Function for Action Spotting in Soccer Videos
Action spotting is an important element of general activity understandin...
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Learning optimal environments using projected stochastic gradient ascent
In this work, we generalize the direct policy search algorithms to an al...
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Likelihoodfree MCMC with Approximate Likelihood Ratios
We propose a novel approach for posterior sampling with intractable like...
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Diffusion Priors In Variational Autoencoders
Among likelihoodbased approaches for deep generative modelling, variati...
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On the Transferability of Winning Tickets in NonNatural Image Datasets
We study the generalization properties of pruned neural networks that ar...
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Arbitrary Marginal Neural Ratio Estimation for Simulationbased Inference
In many areas of science, complex phenomena are modeled by stochastic pa...
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Simulationbased Bayesian inference for multifingered robotic grasping
Multifingered robotic grasping is an undeniable stepping stone to unive...
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The nonparametric locationscale mixture cure model
We propose completely nonparametric methodology to investigate location...
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Nyldon words
The ChenFoxLyndon theorem states that every finite word over a fixed a...
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Gradient Energy Matching for Distributed Asynchronous Gradient Descent
Distributed asynchronous SGD has become widely used for deep learning in...
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Likelihoodfree inference with an improved crossentropy estimator
We extend recent work (Brehmer, et. al., 2018) that use neural networks ...
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Deep QualityValue (DQV) Learning
We introduce a novel Deep Reinforcement Learning (DRL) algorithm called ...
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Critical Time Windows for Renewable Resource Complementarity Assessment
This paper proposes a systematic framework to assess the complementarity...
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Computing the kbinomial complexity of the ThueMorse word
Two words are kbinomially equivalent whenever they share the same subwo...
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Palindromic ZivLempel and Crochemore Factorizations of mBonacci Infinite Words
We introduce a variation of the ZivLempel and Crochemore factorizations...
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On infinite covariance expansions
In this paper we provide a probabilistic representation of Lagrange's id...
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First order covariance inequalities via Stein's method
We propose probabilistic representations for inverse Stein operators (i....
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Reconstructing Words from RightBoundedBlock Words
A reconstruction problem of words from scattered factors asks for the mi...
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On the binomial equivalence classes of finite words
Two finite words u and v are kbinomially equivalent if, for each word x...
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An Application of Deep Reinforcement Learning to Algorithmic Trading
This scientific research paper presents an innovative approach based on ...
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Multitask pretraining of deep neural networks
In this work, we investigate multitask learning as a way of pretrainin...
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Multitask pretraining of deep neural networks for digital pathology
In this work, we investigate multitask learning as a way of pretrainin...
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Fast Bayesian Inference in Nonparametric Double Additive LocationScale Models With Right and IntervalCensored Data
Penalized Bsplines are routinely used in additive models to describe sm...
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An Artificial Intelligence Solution for Electricity Procurement in Forward Markets
Retailers and major consumers of electricity generally purchase a critic...
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A bioinspired bistable recurrent cell allows for longlasting memory
Recurrent neural networks (RNNs) provide stateoftheart performances i...
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Remote Renewable Hubs For CarbonNeutral Synthetic Fuel Production
This paper studies the economics of carbonneutral synthetic fuel produc...
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Topology Optimization for LargeScale Additive Manufacturing: Generating designs tailored to the deposition nozzle size
Additive Manufacturing (AM) processes intended for large scale component...
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GymANM: Opensource software to leverage reinforcement learning for power system management in research and education
GymANM is a Python package that facilitates the design of reinforcement...
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M4Depth: A motionbased approach for monocular depth estimation on video sequences
Getting the distance to objects is crucial for autonomous vehicles. In i...
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Warmingup recurrent neural networks to maximize reachable multistability greatly improves learning
Training recurrent neural networks is known to be difficult when time de...
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Alethe: Towards a Generic SMT Proof Format (extended abstract)
The first iteration of the proof format used by the SMT solver veriT was...
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Momentbased density and risk estimation from grouped summary statistics
Data on a continuous variable are often summarized by means of histogram...
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Optimizing modelagnostic Random Subspace ensembles
This paper presents a modelagnostic ensemble approach for supervised le...
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A Comprehensive Comparison of Word Embeddings in Event Entity Coreference Resolution
Coreference Resolution is an important NLP task and most stateofthear...
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University of Liège
The University of Liège, in Liège, Wallonia, Belgium, is a major public university in the French Community of Belgium.