Zobrazeno 1 - 10
of 1 445
pro vyhledávání: '"A, Shenvi"'
For most problems pertaining to perfect matchings, one may restrict attention to matching covered graphs -- that is, connected nontrivial graphs with the property that each edge belongs to some perfect matching. There is extensive literature on these
Externí odkaz:
http://arxiv.org/abs/2405.15416
Sparse LiDAR point clouds cause severe loss of detail of static structures and reduce the density of static points available for navigation. Reduced density can be detrimental to navigation under several scenarios. We observe that despite high sparsi
Externí odkaz:
http://arxiv.org/abs/2312.00068
Autor:
Kumar, Prashant, Vattikonda, Dheeraj, Nadkarni, Vedang Bhupesh Shenvi, Dong, Erqun, Sahoo, Sabyasachi
We investigate a new paradigm that uses differentiable SLAM architectures in a self-supervised manner to train end-to-end deep learning models in various LiDAR based applications. To the best of our knowledge there does not exist any work that levera
Externí odkaz:
http://arxiv.org/abs/2309.09206
Autor:
Mitra, Robin, McGough, Sarah F., Chakraborti, Tapabrata, Holmes, Chris, Copping, Ryan, Hagenbuch, Niels, Biedermann, Stefanie, Noonan, Jack, Lehmann, Brieuc, Shenvi, Aditi, Doan, Xuan Vinh, Leslie, David, Bianconi, Ginestra, Sanchez-Garcia, Ruben, Davies, Alisha, Mackintosh, Maxine, Andrinopoulou, Eleni-Rosalina, Basiri, Anahid, Harbron, Chris, MacArthur, Ben D.
Missing data are an unavoidable complication in many machine learning tasks. When data are `missing at random' there exist a range of tools and techniques to deal with the issue. However, as machine learning studies become more ambitious, and seek to
Externí odkaz:
http://arxiv.org/abs/2304.01429
Publikováno v:
Journal of the Scientific Society, Vol 51, Iss 2, Pp 315-318 (2024)
Coronal fracture of the anterior teeth is a commonly occurring dental trauma often seen in young individuals. Such fractures can be conservatively managed with fragment reattachment procedure when the fragment is available and preserved in correct st
Externí odkaz:
https://doaj.org/article/cf13af9bcdf242f7ba574fd5219579ad
Autor:
Barons, Martine J., Shenvi, Aditi
For policymakers wishing to make evidence-based decisions, one of the challenges is how to combine the relevant information and evidence in a coherent and defensible manner in order to formulate and evaluate candidate policies. Policymakers often nee
Externí odkaz:
http://arxiv.org/abs/2212.03179
Chain event graphs (CEGs) are a recent family of probabilistic graphical models that generalise the popular Bayesian networks (BNs) family. Crucially, unlike BNs, a CEG is able to embed, within its graph and its statistical model, asymmetries exhibit
Externí odkaz:
http://arxiv.org/abs/2211.11366
Autor:
Shenvi, Aditi, Liverani, Silvia
Chain event graphs are a family of probabilistic graphical models that generalise Bayesian networks and have been successfully applied to a wide range of domains. Unlike Bayesian networks, these models can encode context-specific conditional independ
Externí odkaz:
http://arxiv.org/abs/2211.03427
Staged trees are a recently-developed, powerful family of probabilistic graphical models. An equivalence class of staged trees has now been characterised, and two fundamental statistical operators have been defined to traverse the equivalence class o
Externí odkaz:
http://arxiv.org/abs/2206.15322