1 citations · 2 across the 10 of their papers we have counts for
13 papers
Quantifying research uniqueness with Unbalanced Optimal Transport: Case studies of ten leading universities in neuroscience
Yu Ota, Takayuki Ogi, Yo Nakawake +2
Research evaluation has developed around quantity, citation impact and, more recently, the accumulation of research excellence, but these dimensions remain largely dependent on cit…
Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation
Hiroshi Tamano, Daichi Mochihashi
Multidimensional item response theory (MIRT) is a statistical test theory that precisely estimates multiple latent skills of learners from the responses in a test. Both compensator…
Holographic Neural PCFG for Unsupervised Parsing
Ryosuke Yamaki, Daichi Mochihashi, Nobutaka Shimada +1
Unsupervised constituency parsing aims to accurately induce latent tree structures from raw text alone. Recent neural parameterizations of PCFGs achieve strong performance in both…
Contrastive Bayesian Inference for Unnormalized Models
Naruki Sonobe, Shonosuke Sugasawa, Daichi Mochihashi +1
Unnormalized (or energy-based) models provide a flexible framework for capturing the characteristics of data with complex dependency structures. However, the application of standar…
Tracking Temporal Dynamics of Vector Sets with Gaussian Process
Taichi Aida, Mamoru Komachi, Toshinobu Ogiso +2
Understanding the temporal evolution of sets of vectors is a fundamental challenge across various domains, including ecology, crime analysis, and linguistics. For instance, ecosyst…
Sequential Adaptive Priors for Orthogonal Functions
Shonosuke Sugasawa, Daichi Mochihashi
We propose a novel class of prior distributions for sequences of orthogonal functions, which are frequently required in various statistical models such as functional principal comp…