[PDF] Top 20 Learning Disentangled Representations via Mutual Information Estimation
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Learning Disentangled Representations via Mutual Information Estimation
... learn disentangled representa- tions of paired data by splitting the representation into a shared part and an exclusive ...on mutual information estimation to perform repre- sentation ... Voir le document complet
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Hybrid Statistical Estimation of Mutual Information for Quantifying Information Flow
... scenario, information-theoretical measures quantify the amount of secret information leaked against some particular attacker: the mutual information between two random variables X on the ... Voir le document complet
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Hybrid Statistical Estimation of Mutual Information for Quantifying Information Flow
... scenario, information-theoretical measures quantify the amount of secret information leaked against some particular attacker: the mutual information between two random variables X on the ... Voir le document complet
38
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
... machine learning and ...the mutual information has been proposed using heuristic statistical physics computations, and proven in few specific ...of estimation problems ranging from community ... Voir le document complet
14
Leakage Assessment through Neural Estimation of the Mutual Information
... of information one could gain from a side-channel trace is always bounded by the Mutual Information (MI) between the secret and the ...machine learning community have shown that it is possible ... Voir le document complet
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Entity-centric representations in deep learning
... of information contained in z) to the original query molecular graph (encoded as ...a mutual information maximization approach (detailed in section ...the learning of the ... Voir le document complet
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Learning representations for Information Retrieval
... Summary Information retrieval is generally concerned with answering questions such as: is this document relevant to this query? How similar are two queries or two doc- uments? How query and document similarity can ... Voir le document complet
159
Learning Disentangled Representations with Reference-Based Variational Autoencoders
... learned representations as feature vectors and train a low-capacity model estimating the target factors involved in each ...the information regarding the target ... Voir le document complet
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Learning to combine multi-sensor information for context dependent state estimation
... cleaned estimation output. We note that, as expected from mutual competition between experts introduced during the learning step, the gating network tends to assign binary ...consistent ... Voir le document complet
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Learning Disentangled Representations of Satellite Image Time Series
... To create our dataset, we selected 42 tiles containing sev- eral regions of interest such as the Amazon rainforest, the Dead Sea, the city of Los Angeles, the Great Sandy Desert, circular fields in Saudi Arabia, among ... Voir le document complet
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Physical layer DVB-SH performance prediction based on mutual information
... with duration 60 s, this leads to about 18000 codewords. With the Monte-Carlo method for every codeword, it leads to a minimal number of 1800000 codewords to be simulated. 7.1.2. ESR estimation ESR5 can be ... Voir le document complet
23
Learning representations from functional MRI data
... to learning to decode these images from their reduced represen- ...transfer learning in between stud- ies, as we learn the undocumented cognitive common aspects that the many fMRI studies ... Voir le document complet
183
Physical layer DVB-SH performance prediction based on mutual information
... ESR estimation ESR5 (Erroneous Seconds Ratio 5% ) is another fundamental performance indicator in DVB-SH systems, which is more closely related to the final Quality Of Service than ... Voir le document complet
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Appearance-based Indoor Navigation by IBVS using Mutual Information
... the mutual information, where the robot performs the navigation task to maximize the mutual information with the nearest key images with one degree of ... Voir le document complet
7
Using mutual information for appearance-based visual path following
... of mutual information, vari- ous approaches have been proposed: first-order gradient de- scent [ 39 ], multi-resolution hill climbing algorithm [ 36 ] or sim- ulated annealing techniques [ 30 ...the ... Voir le document complet
13
Regret Bounds for Learning State Representations in Reinforcement Learning
... bound may be better. In Section 6 below we show how to regain the OMS bound for our algorithm and how S Σ in the bounds can be replaced by the effective size of the state space, which in some cases (like for hierarchical ... Voir le document complet
12
Camera Localization Using Mutual Information-Based Multiplane Tracking
... pose parameters, a σ R of 0.01 rad is chosen for the rotations since their impact is very important on the pose and σ t is chosen in a range from 0.002 to 0.05 m to see the impact of the starting position (see figure 1 ... Voir le document complet
7
Omnidirectional Visual Servoing using the Normalized Mutual Information
... Other works have tried to circumvent these problems by using directly the information provided by the entire image (Nayar et al. (1996); Deguchi (2000); Kallem et al. (2007); Collewet and Marchand (2011); Dame and ... Voir le document complet
7
Learning Obstacle Representations for Neural Motion Planning
... representation learning 1 Introduction Motion planning is a fundamental robotics problem [ 2 , 3 ] with numerous applications in mo- bile robot navigation [ 4 ], industrial robotics [ 5 ], humanoid robotics [ 6 ] ... Voir le document complet
11
Mutual information analysis: higher-order statistical moments, efficiency and efficacy
... the Mutual In- formation Analysis (MIA) is often connected to its sta- tistical genericity, denoted flexibility in this ...ploit information lying in any statistical moment and to detect all types of ... Voir le document complet
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