CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion Generation
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Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks
MambaLIE: Scene Light Intensity-Boosted Low-Light Image Enhancement with State Space Model
Self-Improving Diffusion Classifiers with Minority Preference Optimization
FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training un…
Efficient bias mitigation in T2I diffusion models using Concept Graphs
Personalized Causal Recourse: A Human-In-The-Loop Approach
Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completi…
Which Algorithm Specification Formats Help Language Models Implement Machine Learning Alg…
Amortising Bayesian Experimental Design for Sequential Information Gathering in LLMs
TRIAGE: Trustworthy Retrieval Instrumentation And Graph Evaluation
The Role of Prompt Language and Translation-Theory-Driven Prompts in Large Language Model…
Hierarchical Multi-Agent Reinforcement Learning for Carbon-Aware AI Data Centers in Power…
Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence…
MentalThink: Shaping Thoughts in Mental SVG World
How to Avoid Debate: Scalable AI Safety via Doubly-Efficient Interactive Proofs
Robust Feasible Route Construction through Collaborative Partition Optimization
Can Conversational Temporal Dynamics Improve Depression Detection in Dyads? A Preliminary…
Do GUI Agents Believe Their Eyes? Diagnosing State-Belief Reliance on Pixels versus Struc…
MechMath Agent Team: LLM Driven Agents for Mathematical Research
PLACEMEM: Toward a Compute-Aware Memory Plane for Lifelong Agents
Language models guide symbolic equation discovery by controlling search
Measuring Harness-Induced Belief Divergence in Multi-Step LLM Agents
MRMS: A Multi-Resolution Memory Substrate for Long-Lived AI Agents
Integrated Altruistic and Fairness Preference Induces Advanced Mutual Cooperation in Sequ…
FM-ChangeNet: Learning Change through Pathwise Feature Transport
CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs
Diffusion-Guided Uncertainty-Aware Delayed Policy Optimization
Criterion-Conditional In-Context Learning: Evaluating Criterion-Shift Adaptation in Visio…
An automated method of identifying incorrectly labelled images based on the sequences of …