[ICML 2026] REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations

[CVPR 2026] Flow Matching for Multimodal Distributions

[CVPR 2026] Flow Matching for Multimodal Distributions

[NeurIPS 2025] SECA: Semantically Equivalent and Coherent Attacks for Eliciting LLM Hallucinations

This is the official implementation of "Narrative Feature or Structured Feature? A Study of Large Language Models to Identify Cancer Patients at Risk of Heart Failure"

Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment

This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models" (NeurIPS 2024).

Official Implementation of Early Stopping for Deep Image Prior (TMLR)

This repository delves into a research field we refer to as "deeplifting". Deeplifting merges the domains of deep learning and optimization, proposing a novel approach to solve optimization problem…

Deep Random Projector: Accelerated Deep Image Prior

We present iDeepViewLearn (Interpretable Deep Learning Method for Multi-view Learning)--a method for learning nonlinear relationships of data from multiple views that is capable of feature ranking.…

NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning

PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation

Self-Validation: Early Stopping for Single-Instance Deep Generative Priors

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.