12 citations · 15 across the 8 of their papers we have counts for
9 papers
A Generalized Parallelogram Rule for Proportional Analogies on Riemannian Manifolds
Pierre-Alexandre Murena, Marcelo Hartmann
Analogies are quaternary relations of the form "a is to b as c is to d", usually denoted a : b :: c : d. This notion is formalized in particular with the notion of proportional ana…
Proportional Analogies on Probability Distributions via Bayesian Updating
Pierre-Alexandre Murena
Analogies are quaternary relations of the form "A is to B as C is to D". Among the various formalizations of analogical reasoning, proportional analogies provide an important axiom…
Cooperative Bayesian Optimization for Imperfect Agents
Ali Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena +1
We introduce a cooperative Bayesian optimization problem for optimizing black-box functions of two variables where two agents choose together at which points to query the function…
Measuring the Feasibility of Analogical Transfer using Complexity
Pierre-Alexandre Murena
Analogies are 4-ary relations of the form "A is to B as C is to D". While focus has been mostly on how to solve an analogy, i.e. how to find correct values of D given A, B and C, l…
Tackling Morphological Analogies Using Deep Learning -- Extended Version
Safa Alsaidi, Amandine Decker, Esteban Marquer +2
Analogical proportions are statements of the form "A is to B as C is to D". They constitute an inference tool that provides a logical framework to address learning, transfer, and e…
A Neural Approach for Detecting Morphological Analogies
Safa Alsaidi, Amandine Decker, Puthineath Lay +3
Analogical proportions are statements of the form "A is to B as C is to D" that are used for several reasoning and classification tasks in artificial intelligence and natural langu…
On the Transferability of Neural Models of Morphological Analogies
Safa Alsaidi, Amandine Decker, Puthineath Lay +3
Analogical proportions are statements expressed in the form "A is to B as C is to D" and are used for several reasoning and classification tasks in artificial intelligence and natu…
Improving Artificial Teachers by Considering How People Learn and Forget
Aurélien Nioche, Pierre-Alexandre Murena, Carlos de la Torre-Ortiz +1
The paper presents a novel model-based method for intelligent tutoring, with particular emphasis on the problem of selecting teaching interventions in interaction with humans. Wher…
Teaching to Learn: Sequential Teaching of Agents with Inner States
Mustafa Mert Celikok, Pierre-Alexandre Murena, Samuel Kaski
In sequential machine teaching, a teacher's objective is to provide the optimal sequence of inputs to sequential learners in order to guide them towards the best model. In this pap…