output
20142025
most citedMaking brain-machine interfaces robust to future neural variability

231 citations

29 papers

cs.CV2025

VisCoP: Visual Probing for Video Domain Adaptation of Vision Language Models

Dominick Reilly, Manish Kumar Govind, Le Xue +1

Large Vision Language Models (VLMs) excel at general visual reasoning but experience significant performance degradation when deployed in novel domains that exhibit substantial dis…

physics.plasm-ph2025

Retrospective of the ARPA-E BETHE-GAMOW-Era Fusion Programs and Project Cohorts

S. C. Hsu, M. C. Handley, S. E. Wurzel +1

This paper provides a retrospective of the BETHE (Breakthroughs Enabling THermonuclear-fusion Energy) and GAMOW (Galvanizing Advances in Market-aligned fusion for an Overabundance…

cond-mat.soft2025★ 1 cited

The Roles of Size, Packing, and Cohesion in the Emergence of Force Chains in Granular Packings

Ankit Shrivastava, Kaushik Dayal, Hae Young Noh

This study investigates computationally the impact of particle size disparity and cohesion on force chain formation in granular media. The granular media considered in this study a…

eess.IV2025★ 2 cited

A Novel Real-Time Full-Color 3D Holographic (Diffractive) Video Capture, Processing, and Transmission Pipeline Using Off-The-Shelf Hardware

Ankur Samanta, Gregor Mackenzie, Tyler Rathkamp +4

This paper details the world's first live 3D holographic (diffractive) video call using off-the-shelf hardware. We introduce a novel pipeline that facilitates the capture, processi…

cs.NI2025★ 6 cited

Layer-Wise Security Framework and Analysis for the Quantum Internet

Zebo Yang, Ali Ghubaish, Raj Jain +5

With its significant security potential, the quantum internet is poised to revolutionize technologies like cryptography and communications. Although it boasts enhanced security ove…

quant-ph2024★ 3 cited

Meta-Designing Quantum Experiments with Language Models

Sören Arlt, Haonan Duan, Felix Li +3

Artificial Intelligence (AI) can solve complex scientific problems beyond human capabilities, but the resulting solutions offer little insight into the underlying physical principl…

math.NA2024★ 7 cited

Two new calibration techniques of lumped-parameter mathematical models for the cardiovascular system

Andrea Tonini, Francesco Regazzoni, Matteo Salvador +7

Cardiocirculatory mathematical models serve as valuable tools for investigating physiological and pathological conditions of the circulatory system. To investigate the clinical con…

physics.soc-ph2024★ 29 cited

Urban Street Network Design and Transport-Related Greenhouse Gas Emissions around the World

Geoff Boeing, Clemens Pilgram, Yougeng Lu

This study estimates the relationships between street network characteristics and transport-sector CO2 emissions across every urban area in the world and investigates whether they…

math.CO2023★ 2 cited

Combinatorial reciprocity for non-intersecting paths

Sam Hopkins, Gjergji Zaimi

We prove a combinatorial reciprocity theorem for the enumeration of non-intersecting paths in a linearly growing sequence of acyclic planar networks. We explain two applications of…

cs.LG2022

Improving debris flow evacuation alerts in Taiwan using machine learning

Yi-Lin Tsai, Jeremy Irvin, Suhas Chundi +3

Taiwan has the highest susceptibility to and fatalities from debris flows worldwide. The existing debris flow warning system in Taiwan, which uses a time-weighted measure of rainfa…

q-bio.PE2022

Effective approaches to disaster evacuation during a COVID-like pandemic

Yi-Lin Tsai, Dymasius Y. Sitepu, Karyn E. Chappell +4

Since COVID-19 vaccines became available, no studies have quantified how different disaster evacuation strategies can mitigate pandemic risks in shelters. Therefore, we applied an…

math.CO2022★ 2 cited

Restricted Birkhoff polytopes and Ehrhart period collapse

Per Alexandersson, Sam Hopkins, Gjergji Zaimi

We show that the polytopes obtained from the Birkhoff polytope by imposing additional inequalities restricting the "longest increasing subsequence" have Ehrhart quasi-polynomials w…

physics.ao-ph2021★ 104 cited

Global fossil carbon emissions rebound near pre-COVID-19 levels

RB Jackson, P Friedlingstein, C Le Quere +8

Global fossil CO2 emissions in 2020 decreased 5.4%, from 36.7 Gt CO2 in 2019 to 34.8 Gt CO2 in 2020, an unprecedented decline of ~1.9 Gt CO2. We project that global fossil CO2 emis…

cs.CL2021★ 6 cited

Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions

Gengchen Mai, Krzysztof Janowicz, Rui Zhu +2

As an important part of Artificial Intelligence (AI), Question Answering (QA) aims at generating answers to questions phrased in natural language. While there has been substantial…

cs.AI2021★ 15 cited

Routing algorithms as tools for integrating social distancing with emergency evacuation

Yi-Lin Tsai, Chetanya Rastogi, Peter K. Kitanidis +1

One of the lessons from the COVID-19 pandemic is the importance of social distancing, even in challenging circumstances such as pre-hurricane evacuation. To explore the implication…

cs.MM2020

Study On Coding Tools Beyond Av1

Xin Zhao, Liang Zhao, Madhu Krishnan +5

The Alliance for Open Media has recently initiated coding tool exploration activities towards the next-generation video coding beyond AV1. With this regard, this paper presents a p…

cs.LG2019★ 2 cited

The accuracy vs. coverage trade-off in patient-facing diagnosis models

Anitha Kannan, Jason Alan Fries, Eric Kramer +3

A third of adults in America use the Internet to diagnose medical concerns, and online symptom checkers are increasingly part of this process. These tools are powered by diagnosis…

cs.GR2019

Manufacturability Oriented Model Correction and Build Direction Optimization for Additive Manufacturing

Erva Ulu, Nurcan Gecer Ulu, Walter Hsiao +1

We introduce a method to analyze and modify a shape to make it manufacturable for a given additive manufacturing (AM) process. Different AM technologies, process parameters or mate…

cond-mat.mes-hall2019★ 55 cited

Voltage gated inter-cation selective ion channels from graphene nanopores

Lauren Cantley, Jacob L. Swett, David Lloyd +8

With the ability to selectively control ionic flux, biological protein ion channels perform a fundamental role in many physiological processes. For practical applications that requ…

cs.LG2019

Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks

Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis

Despite their unprecedented performance in various domains, utilization of Deep Neural Networks (DNNs) in safety-critical environments is severely limited in the presence of even s…

cs.CV2018★ 1 cited

Fully Convolutional Network for Automatic Road Extraction from Satellite Imagery

Alexander V. Buslaev, Selim S. Seferbekov, Vladimir I. Iglovikov +1

Analysis of high-resolution satellite images has been an important research topic for traffic management, city planning, and road monitoring. One of the problems here is automatic…

cs.AI2018

Invariant Representation of Mathematical Expressions

Reza Shahbazi

While there exist many methods in machine learning for comparison of letter string data, most are better equipped to handle strings that represent natural language, and their perfo…

stat.ME2017

The Nu Class of Low-Degree-Truncated, Rational, Generalized Functions. Ic. IMSPE-optimal designs with circular-disk prediction domains

Nikoloz Chkonia, Selden Crary

This paper is an extension of Part I of a series about Nu-class multifunctions. A method is presented for computing the integrated mean-squared prediction error (IMSPE) in the desi…

stat.ME2017

The Nu Class of Low-Degree-Truncated, Rational, Generalized Functions. Ib. Integrals of Matern-correlation functions for all odd-half-integer class parameters

Selden Crary, Richard Diehl Martinez, Michael Saunders

This paper is an extension of Parts I and Ia of a series about Nu-class generalized functions. We provide hand-generated algebraic expressions for integrals of single Matern-covari…