2 papers
cs.LG2026
Improving Generative Methods for Causal Evaluation via Simulation-Based Inference
Pracheta Amaranath, Vinitra Muralikrishnan, Amit Sharma +1
Generating synthetic datasets that accurately reflect real-world observational data is critical for evaluating causal estimators, but it remains a challenging task. Existing genera…
cs.CV2024
LS-GAN: Human Motion Synthesis with Latent-space GANs
Avinash Amballa, Gayathri Akkinapalli, Vinitra Muralikrishnan
Human motion synthesis conditioned on textual input has gained significant attention in recent years due to its potential applications in various domains such as gaming, film produ…