6 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Illinois Urbana-ChampaignUS2 papers
- Adam Mickiewicz University in PoznańPL1 paper
- Adıyaman UniversityTR1 paper
- Astronomical Institute of the Slovak Academy of SciencesSK1 paper
- Astronomical ObservatoryRS1 paper
- Astronomy and SpaceAU1 paper
- CEA GrenobleFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Centro Universitario InternazionaleIT1 paper
- Changchun ObservatoryCN1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Cukurova UniversityTR1 paper
9 papers
A high geometric albedo and small size of the Haumea cluster member (24835) 1995 SM55 from a stellar occultation and photometric observations
J. L. Ortiz, N. Morales, B. Sicardy +98
Trans-Neptunian objects (TNOs) are among the most ancient bodies of the solar system. Understanding their physical properties is key to constraining their origin and the evolution…
Intrinsic back-switching phenomenon in SOT-MRAM devices
Kuldeep Ray, Jérémie Vigier, Perrine Usé +5
The writing process of SOT-MRAMs is considered deterministic when additional symmetry-breaking factors, such as the application of an external magnetic field aligned with the curre…
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System
Xingyu Lu, Zhining Liu, Yanchu Guan +6
Given the enormous number of users and items, industrial cascade recommendation systems (RS) are continuously expanded in size and complexity to deliver relevant items, such as new…
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
Jiawei Zhang, Linyi Li, Huichen Li +3
Boundary based blackbox attack has been recognized as practical and effective, given that an attacker only needs to access the final model prediction. However, the query efficiency…
QEBA: Query-Efficient Boundary-Based Blackbox Attack
Huichen Li, Xiaojun Xu, Xiaolu Zhang +2
Machine learning (ML), especially deep neural networks (DNNs) have been widely used in various applications, including several safety-critical ones (e.g. autonomous driving). As a…
Long Short-Term Sample Distillation
Liang Jiang, Zujie Wen, Zhongping Liang +7
In the past decade, there has been substantial progress at training increasingly deep neural networks. Recent advances within the teacher--student training paradigm have establishe…
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
Bingzhe Wu, Chaochao Chen, Shiwan Zhao +6
Bayesian deep learning is recently regarded as an intrinsic way to characterize the weight uncertainty of deep neural networks~(DNNs). Stochastic Gradient Langevin Dynamics~(SGLD)…
A Theory of Reversibility for Erlang
Ivan Lanese, Naoki Nishida, Adrián Palacios +1
In a reversible language, any forward computation can be undone by a finite sequence of backward steps. Reversible computing has been studied in the context of different programmin…
Undecidability of Asynchronous Session Subtyping
Mario Bravetti, Marco Carbone, Gianluigi Zavattaro
Session types are used to describe communication protocols in distributed systems and, as usual in type theories, session subtyping characterizes substitutability of the communicat…