5.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- SupélecFR485 papers
- University of Applied Sciences and Arts of Southern SwitzerlandCH485 papers
- New York UniversityUS52 papers
- Google (United States)US16 papers
- Princeton UniversityUS15 papers
- Courant Institute of Mathematical SciencesUS13 papers
- Meta (Israel)IL11 papers
- Massachusetts Institute of TechnologyUS10 papers
- Stanford UniversityUS8 papers
- University of California, BerkeleyUS8 papers
- Cornell UniversityUS7 papers
- Carnegie Mellon UniversityUS6 papers
105 papers · 1 filter
Semi-Supervised Learning with Normalizing Flows
Pavel Izmailov, Polina Kirichenko, Marc Finzi +1
Normalizing flows transform a latent distribution through an invertible neural network for a flexible and pleasingly simple approach to generative modelling, while preserving an ex…
Randomly Projected Additive Gaussian Processes for Regression
Ian A. Delbridge, David S. Bindel, Andrew Gordon Wilson
Gaussian processes (GPs) provide flexible distributions over functions, with inductive biases controlled by a kernel. However, in many applications Gaussian processes can struggle…
Improving Visual Recognition using Ambient Sound for Supervision
Rohan Mahadev, Hongyu Lu
Our brains combine vision and hearing to create a more elaborate interpretation of the world. When the visual input is insufficient, a rich panoply of sounds can be used to describ…
PhD Forum: Enabling Autonomic IoT for Smart Urban Services
Muhammad Junaid Farooq, Quanyan Zhu
The development of autonomous cyber-physical systems (CPS) and advances towards the fifth generation (5G) of wireless technology is promising to revolutionize many industry vertica…
Anti-uniformity norms, anti-uniformity functions and their algebras on Euclidean spaces
A. Martina Neuman
Let be an integer. Given a uniform function - one that satisfies , there is an associated anti-uniform function - one that satisfied $\|g\|_{…
Emotion Recognition from Speech
Kannan Venkataramanan, Haresh Rengaraj Rajamohan
In this work, we conduct an extensive comparison of various approaches to speech based emotion recognition systems. The analyses were carried out on audio recordings from Ryerson A…
The State of Knowledge Distillation for Classification
Fabian Ruffy, Karanbir Chahal
We survey various knowledge distillation (KD) strategies for simple classification tasks and implement a set of techniques that claim state-of-the-art accuracy. Our experiments usi…
Optimizing Pilots and Analog Processing for Channel Estimation in Cell-Free Massive MIMO With One-Bit ADCs
Seok-Hwan Park, Osvaldo Simeone, Yonina C. Eldar +1
In a cell-free cloud radio access network (C-RAN) architecture, uplink channel estimation is carried out by a centralized baseband processing unit (BBU) connected to distributed re…
Finding the Mode of a Kernel Density Estimate
Jasper C. H. Lee, Jerry Li, Christopher Musco +2
Given points in , how do we find a point which maximizes ? In other words, how do we find the maxim…
Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection
Sara Ahmadian, Vaggos Chatziafratis, Alessandro Epasto +4
Hierarchical Clustering is an unsupervised data analysis method which has been widely used for decades. Despite its popularity, it had an underdeveloped analytical foundation and t…
The Use of Deep Learning for Symbolic Integration: A Review of (Lample and Charton, 2019)
Ernest Davis
Lample and Charton (2019) describe a system that uses deep learning technology to compute symbolic, indefinite integrals, and to find symbolic solutions to first- and second-order…
Branching epistemic uncertainty and thickness of tails
Nassim Nicholas Taleb, Pasquale Cirillo
This is an epistemological approach to errors in both inference and risk management, leading to necessary structural properties for the probability distribution. Many mechanisms ha…
Deep Learning Based Android Malware Detection Framework
Soumya Sourav, Devashish Khulbe, Naman Kapoor
With the development in the field of smartphones and ever growing base of Internet, various softwares are left prone to many malicious activities like pharming, phishing, ransomwar…
Control of Multi-Layer Mobile Autonomous Systems in Adversarial Environments: A Games-in-Games Approach
Juntao Chen, Quanyan Zhu
Mobile autonomous system (MAS) becomes pervasive especially in the vehicular and robotic networks. Multiple heterogeneous MAS networks can be integrated together as a multi-layer M…
Transfer Learning from an Auxiliary Discriminative Task for Unsupervised Anomaly Detection
Urwa Muaz, Stanislav Sobolevsky
Unsupervised anomaly detection from high dimensional data like mobility networks is a challenging task. Study of different approaches of feature engineering from such high dimensio…
Knee Cartilage Segmentation Using Diffusion-Weighted MRI
Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku +2
The integrity of articular cartilage is a crucial aspect in the early diagnosis of osteoarthritis (OA). Many novel MRI techniques have the potential to assess compositional changes…
Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study
Xiaoyi Zhang, Rodoniki Athanasiadou, Narges Razavian
Twitter data has been shown broadly applicable for public health surveillance. Previous public health studies based on Twitter data have largely relied on keyword-matching or topic…
Sparse bounds on variational norms along monomial curves
A. Martina Neuman
Consider a monomial curve and a family of truncated Hilbert transforms along , . This paper addresses the possibility of the point…
RIoTS: Risk Analysis of IoT Supply Chain Threats
Timothy Kieras, Muhammad Junaid Farooq, Quanyan Zhu
Securing the supply chain of information and communications technology (ICT) has recently emerged as a critical concern for national security and integrity. With the proliferation…
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions
Sebastian Schelter, Yuxuan He, Jatin Khilnani +1
The importance of incorporating ethics and legal compliance into machine-assisted decision-making is broadly recognized. Further, several lines of recent work have argued that crit…
FlipIn: A Game-Theoretic Cyber Insurance Framework for Incentive-Compatible Cyber Risk Management of Internet of Things
Rui Zhang, Quanyan Zhu
Internet of Things (IoT) is highly vulnerable to emerging Advanced Persistent Threats (APTs) that are often operated by well-resourced adversaries. Achieving perfect security for I…
Video Person Re-ID: Fantastic Techniques and Where to Find Them
Priyank Pathak, Amir Erfan Eshratifar, Michael Gormish
The ability to identify the same person from multiple camera views without the explicit use of facial recognition is receiving commercial and academic interest. The current status-…
Learning from Data-Rich Problems: A Case Study on Genetic Variant Calling
Ren Yi, Pi-Chuan Chang, Gunjan Baid +1
Next Generation Sequencing can sample the whole genome (WGS) or the 1-2% of the genome that codes for proteins called the whole exome (WES). Machine learning approaches to variant…
Learning GANs and Ensembles Using Discrepancy
Ben Adlam, Corinna Cortes, Mehryar Mohri +1
Generative adversarial networks (GANs) generate data based on minimizing a divergence between two distributions. The choice of that divergence is therefore critical. We argue that…