271 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Columbia UniversityUS2 papers
- Analysis Group (United States)US1 paper
- Ariel UniversityIL1 paper
- École Nationale de l’Aviation CivileFR1 paper
- Emory UniversityUS1 paper
- Fermi National Accelerator LaboratoryUS1 paper
- Georgia Institute of TechnologyUS1 paper
- Instituto de Física TeóricaES1 paper
- IonQ (United States)US1 paper
- Joint Quantum InstituteUS1 paper
- KeyW (United States)US1 paper
- Kyoto UniversityJP1 paper
19 papers
DP-Rec: Towards Dynamic Patching for Efficient Long-Sequence Recommendation
Dwipam Katariya, Thomas Caputo, Akshat Shreemali +6
Transformers have redefined sequential recommendation by effectively modeling dynamic user behaviors and long-range dependencies. However, they remain inherently inefficient: stand…
Estimating Peer Influence in Multilayer Networks
Weihua An, Pablo Estrada, Juan Estrada +1
This paper proposes a model-based empirical method to identify influential individuals in risky behaviors. To determine the most influential individuals, we estimate peer influence…
Tensor renormalization group approach to critical phenomena via symmetry-twisted partition functions
Shinichiro Akiyama, Raghav G. Jha, Jun Maeda +2
The locality of field theories strongly constrains the possible behaviors of symmetry-twisted partition functions, and thus they serve as order parameters to detect low-energy real…
Efficient production of sodium Bose-Einstein condensates in a hybrid trap
Yanda Geng, Shouvik Mukherjee, Swarnav Banik +6
We describe an apparatus that efficiently produces Na Bose-Einstein condensates (BECs) in a hybrid trap that combines a quadrupole magnetic field with a far-detuned optical…
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients
Evandro S. Ortigossa, Fábio F. Dias, Brian Barr +2
The development of machine learning applications has increased significantly in recent years, motivated by the remarkable ability of learning-powered systems to discover and genera…
MLE for the parameters of bivariate interval-valued models
S. Yaser Samadi, L. Billard, Jiin-Huarng Guo +1
With contemporary data sets becoming too large to analyze the data directly, various forms of aggregated data are becoming common. The original individual data are points, but afte…
Making Intelligence: Ethical Values in IQ and ML Benchmarks
Borhane Blili-Hamelin, Leif Hancox-Li
In recent years, ML researchers have wrestled with defining and improving machine learning (ML) benchmarks and datasets. In parallel, some have trained a critical lens on the ethic…
Should attention be all we need? The epistemic and ethical implications of unification in machine learning
Nic Fishman, Leif Hancox-Li
"Attention is all you need" has become a fundamental precept in machine learning research. Originally designed for machine translation, transformers and the attention mechanisms th…
Counterfactual Explanations via Latent Space Projection and Interpolation
Brian Barr, Matthew R. Harrington, Samuel Sharpe +1
Counterfactual explanations represent the minimal change to a data sample that alters its predicted classification, typically from an unfavorable initial class to a desired target…
Epistemic values in feature importance methods: Lessons from feminist epistemology
Leif Hancox-Li, I. Elizabeth Kumar
As the public seeks greater accountability and transparency from machine learning algorithms, the research literature on methods to explain algorithms and their outputs has rapidly…
Quantifying Challenges in the Application of Graph Representation Learning
Antonia Gogoglou, C. Bayan Bruss, Brian Nguyen +2
Graph Representation Learning (GRL) has experienced significant progress as a means to extract structural information in a meaningful way for subsequent learning tasks. Current app…
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools
Anh Truong, Austin Walters, Jeremy Goodsitt +3
There has been considerable growth and interest in industrial applications of machine learning (ML) in recent years. ML engineers, as a consequence, are in high demand across the i…
A Persona-based Multi-turn Conversation Model in an Adversarial Learning Framework
Oluwatobi O. Olabiyi, Anish Khazane, Erik T. Mueller
In this paper, we extend the persona-based sequence-to-sequence (Seq2Seq) neural network conversation model to multi-turn dialogue by modifying the state-of-the-art hredGAN archite…
Global Explanations of Neural Networks: Mapping the Landscape of Predictions
Mark Ibrahim, Melissa Louie, Ceena Modarres +1
A barrier to the wider adoption of neural networks is their lack of interpretability. While local explanation methods exist for one prediction, most global attributions still reduc…
Anomaly Detection in Cyber Network Data Using a Cyber Language Approach
Bartley D. Richardson, Benjamin J. Radford, Shawn E. Davis +2
As the amount of cyber data continues to grow, cyber network defenders are faced with increasing amounts of data they must analyze to ensure the security of their networks. In addi…
Fast computation of the principal components of genotype matrices in Julia
Jiahao Chen, Andreas Noack, Alan Edelman
Finding the largest few principal components of a matrix of genetic data is a common task in genome-wide association studies (GWASs), both for dimensionality reduction and for iden…
Adversarial Coordination on Social Networks
Chen Hajaj, Sixie Yu, Zlatko Joveski +1
Decentralized coordination is one of the fundamental challenges for societies and organizations. While extensively explored from a variety of perspectives, one issue which has rece…
An Exploration of H-1B Visa Applications in the United States
Habeeb Hooshmand, Joseph Martinsen, Jonathan Arauco +2
The H-1B visa program is a very important tool for US-based businesses and educational institutes to recruit foreign talent. While the ultimate decision to certify an application l…
Valuating Surface Surveillance Technology for Collaborative Multiple-Spot Control of Airport Departure Operations
Pierrick Burgain, Sang Hyun Kim, Eric Feron
Airport departure operations are a source of airline delays and passenger frustration. Excessive surface traffic is a cause of increased controller and pilot workload. It is also a…