Style-based quantum generative adversarial networks for Monte Carlo events. (arXiv:2110.06933v1 [quant-ph]) http://arxiv.org/abs/2110.06933
Provably accurate simulation of gauge theories and bosonic systems. (arXiv:2110.06942v1 [quant-ph]) http://arxiv.org/abs/2110.06942
Challenges for Unsupervised Anomaly Detection in Particle Physics. (arXiv:2110.06948v1 [cs.LG]) http://arxiv.org/abs/2110.06948
Considering user agreement in learning to predict the aesthetic quality. (arXiv:2110.06956v1 [cs.CV]) http://arxiv.org/abs/2110.06956
Language Modelling via Learning to Rank. (arXiv:2110.06961v1 [cs.CL]) http://arxiv.org/abs/2110.06961
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains. (arXiv:2110.06962v1 [cs.CL]) http://arxiv.org/abs/2110.06962
The Complexity of Bipartite Gaussian Boson Sampling. (arXiv:2110.06964v1 [quant-ph]) http://arxiv.org/abs/2110.06964
Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers. (arXiv:2110.06968v1 [gr-qc]) http://arxiv.org/abs/2110.06968
Block Contextual MDPs for Continual Learning. (arXiv:2110.06972v1 [cs.LG]) http://arxiv.org/abs/2110.06972
An Introduction to Automatic Differentiation forMachine Learning. (arXiv:2110.06209v1 [cs.LG]) http://arxiv.org/abs/2110.06209
Diagonalizing Against Polynomial-Time Bounded Turing Machines Via Nondeterministic Turing Machine. (arXiv:2110.06211v1 [cs.CC]) http://arxiv.org/abs/2110.06211
Global Convergence of Triangularized Orthogonalization-free Method. (arXiv:2110.06212v1 [math.NA]) http://arxiv.org/abs/2110.06212
A Cross-Platform Benchmark for Interval Computation Libraries. (arXiv:2110.06215v1 [cs.MS]) http://arxiv.org/abs/2110.06215
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI. (arXiv:2110.06223v1 [cs.CL]) http://arxiv.org/abs/2110.06223
Molecular Graph Generation via Geometric Scattering. (arXiv:2110.06241v1 [cs.LG]) http://arxiv.org/abs/2110.06241
Congruence properties of combinatorial sequences via Walnut and the Rowland-Yassawi-Zeilberger automaton. (arXiv:2110.06244v1 [math.CO]) http://arxiv.org/abs/2110.06244
StateAFL: Greybox Fuzzing for Stateful Network Servers. (arXiv:2110.06253v1 [cs.CR]) http://arxiv.org/abs/2110.06253
Not all noise is accounted equally: How differentially private learning benefits from large sampling rates. (arXiv:2110.06255v1 [cs.LG]) http://arxiv.org/abs/2110.06255
On Convergence of Training Loss Without Reaching Stationary Points. (arXiv:2110.06256v1 [cs.LG]) http://arxiv.org/abs/2110.06256
Image Compression and Classification Using Qubits and Quantum Deep Learning. (arXiv:2110.05476v1 [quant-ph]) http://arxiv.org/abs/2110.05476
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