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05/23/2023
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
The success of over-parameterized neural networks trained to near-zero t...
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03/06/2023
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
Sampling from Gibbs distributions p(x) ∝exp(-V(x)/ε) and computing their...
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12/07/2022
Transfer learning for chemically accurate interatomic neural network potentials
Developing machine learning-based interatomic potentials from ab-initio ...
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03/17/2022
A Framework and Benchmark for Deep Batch Active Learning for Regression
We study the performance of different pool-based Batch Mode Deep Active ...
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09/20/2021
Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments
Artificial neural networks (NNs) are one of the most frequently used mac...
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10/05/2020
On the Universality of the Double Descent Peak in Ridgeless Regression
We prove a non-asymptotic distribution-independent lower bound for the e...
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02/12/2020
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
We prove that two-layer (Leaky)ReLU networks initialized by e.g. the wid...
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11/01/2017
Improved Approximation Schemes for the Restricted Shortest Path Problem
The Restricted Shortest Path (RSP) problem, also known as the Delay-Cons...
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10/17/2017
