AI Foundational Optimizations

Rapid disaster damage assessment using deep adversarial sliced Wasserstein domain adaptation

Fatma AlNaimi , Abdulaziz Al-Homaid , Ferda Ofli , Abdelkader Baggag
Neural Computing and Applications (2026)

Particles Don’t Care About Z: Towards Scaling Entropy Estimation of Unnormalized Densities

Safa Messaoud, Skander Charni, Elaa Bouazza, Ali Pourghasemi, Halima Bensmail
ICML (2026)

ISilDR: Isometric Seriation-based Dimensionality Reduction for Visual Cluster Analysis

Rene Cutura , Sophie Sadler , Quynh Quang Ngo , Michaël Aupetit , Michael Sedlmair
IEEE Transactions on Visualization and Computer Graphics (2026)

Uncertainty-Aware LLMs Fail to Flag Misleading Contexts

Tianyi Zhou, Johanne Medina, Sanjay Chawla
NeurIPS 2025 – Reliable ML Workshop (2025)

Explaining the role of Intrinsic Dimensionality in Adversarial Training

Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla
ICML (2025)

Deep learning, transformers and graph neural networks: a linear algebra perspective

Abdelkader Baggag, Yousef Saad
Numerical Algorithms (2025)

Distortion-aware Brushing for Reliable Cluster Analysis in Multidimensional Projections

Hyeon Jeon, Michael Aupetit, Soohyun Lee, Kwon Ko, Youngtaek Kim, Ghulam Jilani Quadri
IEEE Transactions on Visualization and Computer Graphics (2025)

Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models

Tianyi Zhou, Johanne Medina, Sanjay Chawla
Proceedings of the AAAI Conference on Artificial Intelligence, 40(44), 38164-38172.

ArnoldiGCL: Graph Contrastive Learning via Learnable Arnoldi-Based Guided Spectral Chebyshev Polynomial Filters

Mustafa Coşkun, Abdelkader Baggag, Mehmet Koyutürk
Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2025)

Measuring the Validity of Clustering Validation Datasets

Hyeon Jeon, Michael Aupetit, DongHwa Shin, Aeri Cho, Seokhyeon Park, Jinwook Seo
IEEE Transaction on Pattern Analysis and Machine Intelligence (2025)

S²AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic

Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
ICLR (2024)

A pragmatic perspective on AI transparency at workplace

Ghanim Al-Sulaiti, Mohammad Amin Sadeghi, Lokendra Chauhan, Ji Lucas, Sanjay Chawla, Ahmed Elmagarmid
AI and Ethics (2024)

Classes are Not Clusters: Improving Label-Based Evaluation of Dimensionality Reduction

Hyeon Jeon, Yun-Hsin Kuo, Michael Aupetit, Kwan-Liu Ma, Jinwook Seo
IEEE Transactions on Visualization and Computer Graphics (2024)

Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction

Benoît Colange, Jaakko Peltonen, Michael Aupetit, Denys Dutykh, Sylvain Lespinats
Proceedings of NeurIPS (2020)

Toward Perception-Based Evaluation of Clustering Techniques for Visual Analytics

Michael Aupetit, Michael Sedlmair, Mostafa M. Abbas, Abdelkader Baggag, Halima Bensmail
Proceedings of the IEEE Visualization Conference (2019)

Multidimensional Projection for Visual Analytics: Linking Techniques with Distortions, Tasks, and Layout Enrichment

Luis Gustavo Nonato, Michael Aupetit
IEEE Transactions on Visualization and Computer Graphics (2019)