ICML 2025PastOther
4th Muslims in ML Workshop co-located with ICML 2025
MusIML
- Submission deadline
- May 31, 2025, 11:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (20)
Fetched from OpenReview (v2) on 2026-06-10.
A Dual Path Hybrid Convolutional Neural Network and Bidirectional Long-Short Term Memory Approach for PPG-Based Stress Monitoring
Adaptive Creativity Evaluation through Multi-turn Dialogue Driven by Reinforcement Learning
AI Agents for Document Automation and Negotiation Between Buyers and Sellers
Crowdsourced Information Authentication: A Graph-based Model from the Science of Hadith
DIVA: Diversity Assessment in Text-to-Image Generation via Hybrid Metrics
Does Compression Exacerbate Large Language Models' Social Bias?
Efficient Graph Neural Architecture Search for Medical Imaging in Real-World Clinical Settings
Evaluating Cumulative Spectral Gradient as a Complexity Measure
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents
GazaVHR: AI-Driven Legally Grounded Conflict Harm Documentation
Graph-Guided Prompting for Zero-Shot Multi-Hop Question Generation: Gains without Fine-Tuning, Limits without Adaptation
HALT-CoT: Model-Agnostic Early Stopping for Chain-of-Thought Reasoning via Answer Entropy
Interpretable Human Action Recognition: A CNN-GRU Approach with Gradient-weighted Class Activation Mapping Insights
Large Language Model Value Alignment via Multi-Stage Fine-Tuning and Expert-Annotated Supervision
Leveraging LLM-based sentiment analysis for portfolio optimization with proximal policy optimization
Machine Learning-Based Optimization of Site-Specific Fertilizer Recommendation
Making progress in Trustworthy AI using DeepMind’s AI Safety Gridworlds
Network Inversion for Generating Confidently Classified Counterfeits
Stabilizing the Kuramoto–Sivashinsky Equation Using Deep Reinforcement Learning with a DeepONet Prior
TacticCraft: Natural Language-Driven Tactical Adaptation for StarCraft II