Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learnerby Valentyn Melnychuk, Stefan Feuerriegel,…
Solving stochastic partial differential equations using neural networks in the Wiener chaos expansionby Ariel Neufeld,…
Solving Trojan Detection Competitions with Linear Weight Classificationby Todd Huster, Peter Lin, Razvan Stefanescu, Emmanuel…
Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapyby Alif Bin Abdul Qayyum,…
Fourier Analysis of Variational Quantum Circuits for Supervised Learningby Marco Wiedmann, Maniraman Periyasamy, Daniel D.…
LASER: Attention with Exponential Transformationby Sai Surya Duvvuri, Inderjit S. DhillonFirst submitted to arxiv on:…
Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancyby Razvan-Gabriel Dumitru, Paul-Ioan…
Understanding Self-Supervised Learning via Gaussian Mixture Modelsby Parikshit Bansal, Ali Kavis, Sujay SanghaviFirst submitted to…
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devicesby Hanqing Zhu,…
Two-Stage Pretraining for Molecular Property Prediction in the Wildby Kevin Tirta Wijaya, Minghao Guo, Michael…