Deep generative models have unlocked another profound realm of human creativity. By
capturing and generalizing patterns within data, we have entered the epoch of all …

Despite the remarkable performance of score distillation in text-to-3D generation such
techniques notoriously suffer from view inconsistency issues also known as" Janus" artifact …

Intelligent transportation systems play a crucial role in modern traffic management and
optimization, greatly improving traffic efficiency and safety. With the rapid development of …

The study of time series data is crucial for understanding trends and anomalies over time,
enabling predictive insights across various sectors. Spatio-temporal data, on the other hand …

For the first time, we show high-fidelity generation of Liquid Argon Time Projection Chamber
(LArTPC-like) data using a generative neural network. This demonstrates that methods …

Neural networks demonstrate vulnerability to small, non-random perturbations, emerging as
adversarial attacks. Such attacks, born from the gradient of the loss function relative to the …

The intersection of artificial intelligence (AI) and quantum physics has sparked significant
advancements in both fields. This paper first reviews the application of AI techniques …

We propose Quantum-informed Tensor Adaptation (QuanTA), a novel, easy-to-implement,
fine-tuning method with no inference overhead for large-scale pre-trained language models …

The blooming diffusion probabilistic models (DPMs) have garnered significant interest due
to their impressive performance and the elegant inspiration they draw from physics. While …

Generative AI systems like ChatGPT and Midjourney can produce prose or images. But can
they produce art? I argue that this question, though natural and intriguing, is the wrong one …