Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation https://arxiv.org/abs/2503.19937 #cs.CV #cs.AI
Continual Learning With Quasi-Newton Methods https://arxiv.org/abs/2503.19939 #eess.IV #cs.LG
Body Discovery of Embodied AI https://arxiv.org/abs/2503.19941 #cs.RO #cs.AI #cs.NE
Vanishing Depth: A Depth Adapter with Positional Depth Encoding for Generalized Image Encoders https://arxiv.org/abs/2503.19947 #cs.CV #cs.AI
Bernstein-Vazirani Algorithm with A CCNOT-Based Oracle https://arxiv.org/abs/2503.18951 #quant-ph #cs.DS
Reclaiming the Future: American Information Technology Leadership in an Era of Global Competition https://arxiv.org/abs/2503.18952 #cs.CY
Is there a future for AI without representation? https://arxiv.org/abs/2503.18955 #cs.AI #cs.CV
International Agreements on AI Safety: Review and Recommendations for a Conditional AI Safety Treaty https://arxiv.org/abs/2503.18956 #cs.CY #cs.AI
A Real-Time Human Action Recognition Model for Assisted Living https://arxiv.org/abs/2503.18957 #cs.CV
Advancing Deep Learning through Probability Engineering: A Pragmatic Paradigm for Modern AI https://arxiv.org/abs/2503.18958 #math.PR #stat.ML #cs.AI
An Approach to Analyze Niche Evolution in XCS Models https://arxiv.org/abs/2503.18961 #cs.NE #cs.LG
Representative Ranking for Deliberation in the Public Sphere https://arxiv.org/abs/2503.18962 #cs.SI #cs.LG
Unifying EEG and Speech for Emotion Recognition: A Two-Step Joint Learning Framework for Handling Missing EEG Data During Inference https://arxiv.org/abs/2503.18964 #cs.SD #cs.AI
MedAgent-Pro: Towards Multi-modal Evidence-based Medical Diagnosis via Reasoning Agentic Workflow https://arxiv.org/abs/2503.18968 #cs.AI
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers https://arxiv.org/abs/2503.17365 #cs.LG #cs.AI #cs.CY
Duality between Lines and Points https://arxiv.org/abs/2503.17372 #cs.CG #cs.DS
Intanify AI Platform: Embedded AI for Automated IP Audit and Due Diligence https://arxiv.org/abs/2503.17374 #cs.CY #cs.CE #cs.HC
State Fourier Diffusion Language Model (SFDLM): A Scalable, Novel Iterative Approach to Language Modeling https://arxiv.org/abs/2503.17382 #cs.LG #cs.CL
Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need? https://arxiv.org/abs/2503.17385 #eess.SY #stat.ML #cs.LG #cs.SY
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