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84 Results
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Poster
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Thu 14:00 |
Modular Flows: Differential Molecular Generation Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg |
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Workshop
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Modular Flows: Differential Molecular Generation Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg |
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Poster
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Tue 14:00 |
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits Achraf Azize · Debabrota Basu |
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Poster
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Wed 9:00 |
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need? Leon Gerard · Michael Scherbela · Philipp Marquetand · Philipp Grohs |
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Poster
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Tue 9:00 |
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell · Yaron Lipman · Ricky T. Q. Chen |
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Poster
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Wed 9:00 |
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations Michael Poli · Winnie Xu · Stefano Massaroli · Chenlin Meng · Kuno Kim · Stefano Ermon |
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Workshop
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Sat 9:45 |
Stochastic Differentially Private and Fair Learning Andrew Lowy · Devansh Gupta · Meisam Razaviyayn |
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Poster
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Wed 9:00 |
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations Alexander Immer · Tycho van der Ouderaa · Gunnar Rätsch · Vincent Fortuin · Mark van der Wilk |
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Workshop
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Stochastic Gradient Estimator for Differentiable NAS Libin Hou · Linyuan Wang · Qi Peng · Bin Yan |
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Poster
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Differentiable hierarchical and surrogate gradient search for spiking neural networks Kaiwei Che · Luziwei Leng · Kaixuan Zhang · Jianguo Zhang · Qinghu Meng · Jie Cheng · Qinghai Guo · Jianxing Liao |
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Poster
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Tue 9:00 |
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence) Jiayuan Ye · Reza Shokri |
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Poster
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Thu 9:00 |
Automatic Differentiation of Programs with Discrete Randomness Gaurav Arya · Moritz Schauer · Frank Schäfer · Christopher Rackauckas |