Summary of The Challenges Of the Nonlinear Regime For Physics-informed Neural Networks, by Andrea Bonfanti et al.
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networksby Andrea Bonfanti, Giuseppe Bruno, Cristina…
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networksby Andrea Bonfanti, Giuseppe Bruno, Cristina…
Estimating Barycenters of Distributions with Neural Optimal Transportby Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena…
Operator SVD with Neural Networks via Nested Low-Rank Approximationby J. Jon Ryu, Xiangxiang Xu, H.…
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Modelsby Kelvin J.L. Koa, Yunshan…
Estimating the Local Learning Coefficient at Scaleby Zach Furman, Edmund LauFirst submitted to arxiv on:…
Constrained Synthesis with Projected Diffusion Modelsby Jacob K Christopher, Stephen Baek, Ferdinando FiorettoFirst submitted to…
Deconstructing the Goldilocks Zone of Neural Network Initializationby Artem Vysogorets, Anna Dawid, Julia KempeFirst submitted…
Neural Network Approximators for Marginal MAP in Probabilistic Circuitsby Shivvrat Arya, Tahrima Rahman, Vibhav GogateFirst…
Regulation Games for Trustworthy Machine Learningby Mohammad Yaghini, Patty Liu, Franziska Boenisch, Nicolas PapernotFirst submitted…
Training-Free Consistent Text-to-Image Generationby Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal…