Publications

This section contains publications published by ISI over the past several decades.

2024

Publishing Group

Amir Minoofar, Abdulrahman Alhaddad, Wing Ko, Narek Karapetyan, Ahmed Almaiman, Huibin Zhou, Muralekrishnan Ramakrishnan, MURALI ANNAVARAM, Moshe Tur, Jonathan Habif, Alan Willner
2024

Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models

Zhiwei Li, Carl Kesselman, Mike D’Arcy, Michael Pazzani, Benjamin Yizing Xu
2024 IEEE 20th International Conference on e-Science (e-Science), 1-10,  2024

IHMCIF: an extension of the PDBx/mmCIF data standard for integrative structure determination methods

Brinda Vallat, Benjamin M Webb, John D Westbrook, Thomas D Goddard, Christian A Hanke, Andrea Graziadei, Ezra Peisach, Arthur Zalevsky, Jared Sagendorf, Hongsuda Tangmunarunkit, Serban Voinea, Monica Sekharan, Jian Yu, Alexander AMJJ Bonvin, Frank DiMaio, Gerhard Hummer, Jens Meiler, Emad Tajkhorshid, Thomas E Ferrin, Catherine L Lawson, Alexander Leitner, Juri Rappsilber, Claus AM Seidel, Cy M Jeffries, Stephen K Burley, Jeffrey C Hoch, Genji Kurisu, Kyle Morris, Ardan Patwardhan, Sameer Velankar, Torsten Schwede, Jill Trewhella, Carl Kesselman, Helen M Berman, Andrej Sali
Journal of molecular biology, 168546,  2024

Look, Learn and Leverage (L): Mitigating Visual-Domain Shift and Discovering Intrinsic Relations via Symbolic Alignment

Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Wael AbdAlmageed
arXiv preprint arXiv:2408.17363,  2024

An investigation on the position encoding in vision-based dynamics prediction

Jiageng Zhu, Hanchen Xie, Jiazhi Li, Mahyar Khayatkhoei, Wael AbdAlmageed
arXiv preprint arXiv:2408.15201,  2024

Exploring perceptual limitation of multimodal large language models

Jiarui Zhang, Jinyi Hu, Mahyar Khayatkhoei, Filip Ilievski, Maosong Sun
arXiv preprint arXiv:2402.07384,  2024

Multi-Scope Representation Learning for Causal Relations Discovery with New Challenging Datasets

Jiageng Zhu, Hanchen Xie, Jianhua Wu, Mohamed E Hussein, Mahyar Khayatkhoei, Jiazhi Li, Wael AbdAlmageed
Mouth 3, 4,  2024

Manifpt: Defining and analyzing fingerprints of generative models

Hae Jin Song, Mahyar Khayatkhoei, Wael AbdAlmageed
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …,  2024

cfr (v2024.1.26): a Python package for climate field reconstruction

Feng Zhu, Julien Emile-Geay, Gregory J Hakim, Dominique Guillot, Deborah Khider, Robert Tardif, Walter A Perkins
Geoscientific Model Development 17 (8), 3409-3431,  2024

The LiPD Research Ecosystem

Julien Emile-Geay, Nicholas McKay, Deborah Khider, Feng Zhu, David Edge
AGU23,  2024

Detecting paleoclimate transitions with Laplacian eigenmaps of recurrence matrices (LERM)

Alexander James, Julien Emile‐Geay, Nishant Malik, Deborah Khider
Paleoceanography and Paleoclimatology 39 (1), e2023PA004700,  2024

HRA-Secure Homomorphic Lattice-Based Proxy Re-Encryption with Tight Security

Aloni Cohen, David Bruce Cousins, Nicholas Genise, Erik Kline, Yuriy Polyakov, RV Saraswathy
Cryptology ePrint Archive,  2024

Measuring Partial Reachability in the Public Internet

Guillermo Baltra, Tarang Saluja, Yuri Pradkin, John Heidemann
arXiv preprint arXiv:2412.09711,  2024

Auditing for Bias in Ad Delivery Using Inferred Demographic Attributes

Basileal Imana, Aleksandra Korolova, John Heidemann
arXiv preprint arXiv:2410.23394,  2024

Reasoning About Internet Connectivity

Guillermo Baltra, Tarang Saluja, Yuri Pradkin, John Heidemann
arXiv preprint arXiv:2407.14427,  2024

Auditing for racial discrimination in the delivery of education ads

Basileal Imana, Aleksandra Korolova, John Heidemann
The 2024 ACM Conference on Fairness, Accountability, and Transparency, 2348-2361,  2024

Anycast Polarization in the Wild

ASM Rizvi, Tingshan Huang, Rasit Esrefoglu, John Heidemann
International Conference on Passive and Active Network Measurement, 104-131,  2024

Deep Dive into NTP Pool's Popularity and Mapping

Giovane CM Moura, Marco Davids, Caspar Schutijser, Cristian Hesselman, John Heidemann, Georgios Smaragdakis
Proceedings of the ACM on Measurement and Analysis of Computing Systems 8 (1 …,  2024

ClassiFIM: an unsupervised method to detect phase transitions

Victor Kasatkin, Evgeny Mozgunov, Nicholas Ezzell, Utkarsh Mishra, Itay Hen, Daniel Lidar
arXiv preprint arXiv:2408.03323,  2024