Artificial intelligence

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Integrating Automated Reasoning with Machine Learning for Structured Prediction and Scientific Discovery

thesis posted on 2025-05-14

Accounting Individual Cognition and Social Influence for Better Human-AI Decision Making

thesis posted on 2025-05-06

Zhuoran Lu

Scaling Graph Neural Networks for Large Graphs and Analyzing Common Vulnerabilities via Large Language Models

thesis posted on 2025-04-27

Siddhartha Shankar Das

Sounding the Alarm: AI-Based Speech Recognition for Abuse and Suicide Detection

thesis posted on 2025-04-11

Anugunj Naman

Towards Graph Foundation Models: Enhancing Expressiveness and Generalization in Graph Learning

thesis posted on 2025-04-10

Beatrice Bevilacqua

UNDERSTANDING AND ANALYZING MICROTARGETING PATTERN ON SOCIAL MEDIA

thesis posted on 2025-02-18

Interpretable Frameworks for User-Centered Structured AI Models

thesis posted on 2024-12-17

Ying-Chun Lin

DIFFUSION MODELS OVER DYNAMIC NETWORKS USINGTRANSFORMERS

thesis posted on 2024-12-13

Aniruddha Mukherjee

ANALYSIS AND MODELING OF STATE-LEVEL POLICY AND LEGISLATIVE TEXT WITH NLP AND ML TECHNIQUES

thesis posted on 2024-12-05

Maryam Davoodi

A Framework to Identify Online Communities for Social Media Analysis

thesis posted on 2024-10-16

Nikhil Mehta

ENHANCING POLICY OPTIMIZATION FOR IMPROVED SAMPLE EFFICIENCY AND GENERALIZATION IN DEEP REINFORCEMENT LEARNING

thesis posted on 2024-10-08

Md Masudur Rahman

Accelerating AI-driven scientific discovery with end-to-end learning and random projection

thesis posted on 2024-08-23

Md Nasim

AN ANALYSIS ON SHORT-FORM TEXT AND DERIVED ENGAGEMENT

thesis posted on 2024-07-22

Ryan J Schwarz

TOWARDS SECURE AND ROBUST 3D PERCEPTION IN THE REAL WORLD: AN ADVERSARIAL APPROACH

thesis posted on 2024-07-11

Zhiyuan Cheng

Towards Novelty-Resilient AI: Learning in the Open World

thesis posted on 2024-04-22

Trevor A Bonjour

Deep Synthesis of Distortion-free 3D Omnidirectional Imagery from 2D Images

thesis posted on 2024-04-22

Christopher K May

Unveiling patterns in data: harnessing computational topology in machine learning

thesis posted on 2024-01-31

Soham Mukherjee

Beyond Disagreement-based Learning for Contextual Bandits

thesis posted on 2023-12-12

Pinaki Ranjan Mohanty

Decomposition and Stability of Multiparameter Persistence Modules

thesis posted on 2023-08-04

Cheng Xin

Multimodal Data Management in Open-world Environment

thesis posted on 2023-08-02

KMA Solaiman

Multi-Agent Neural Rearrangement Planning of Objects in Cluttered Environments

thesis posted on 2023-07-27

Vivek Gupta

Dynamic Network Modeling from Temporal Motifs and Attributed Node Activity

thesis posted on 2023-07-26

Giselle Zeno

WEAKLY SUPERVISED CHARACTERIZATION OF DISCOURSES ON SOCIAL AND POLITICAL MOVEMENTS ON ONLINE MEDIA

thesis posted on 2023-06-14

Shamik Roy

ANALYSIS OF CONTINUOUS LEARNING MODELS FOR TRAJECTORY REPRESENTATION

thesis posted on 2023-04-24

Kendal Graham Norman

Provable Guarantees of Learning with Incomplete and Latent Data

thesis posted on 2023-04-21

Chuyang Ke

Scalable Parallel Machine Learning on High Performance Computing Systems–Clustering and Reinforcement Learning

thesis posted on 2022-12-08

Weijian Zheng

Causal Reasoning in Equivalence Classes

thesis posted on 2022-12-07

Amin Jaber

Deep neural networks for detection of rare events, novelties, and data augmentation in multimodal data streams

thesis posted on 2022-08-12

Alina V Nesen

Higher-order reasoning with graph data

thesis posted on 2022-07-29

Leonardo de Abreu Cotta

DEEP LEARNING BASED MODELS FOR NOVELTY ADAPTATION IN AUTONOMOUS MULTI-AGENT SYSTEMS

thesis posted on 2022-07-20

Marina Wagdy Wadea Haliem

Deep Learning Based Models for Cognitive Autonomy and Cybersecurity Intelligence in Autonomous Systems

thesis posted on 2022-06-21

Ganapathy Mani

Neural-Symbolic Modeling for Natural Language Discourse

thesis posted on 2022-05-13

Maria Leonor Pacheco Gonzales

Efficient Algorithms for Causal Linear Identification and Sequential Imitation Learning

thesis posted on 2022-04-28

Daniel R Kumor

On Higher Order Graph Representation Learning

thesis posted on 2022-04-27

Balasubramaniam Srinivasan

Efficient and Scalable Subgraph Statistics using Regenerative Markov Chain Monte Carlo

thesis posted on 2022-04-26

Mayank Kakodkar

Using Structural Regularities for a Procedural Reconstruction of Urban Environments from Satellite Imagery

thesis posted on 2022-04-21

Xiaowei Zhang

Fine-Grained Bayesian Zero-Shot Object Recognition

thesis posted on 2022-01-03

Sarkhan Badirli

Bottom-up, Context-Driven Visual Object Understanding

thesis posted on 2021-12-20

Sepehr Farhand

Graph Representation Learning for Unsupervised and Semi-supervised Learning Tasks

thesis posted on 2021-12-19

Mengyue Hang

An Effective Framework of Autonomous Driving by Sensing Road/motion Profiles

thesis posted on 2021-11-22

Zheyuan Wang