Max Mergenthaler-Canseco
Signal Processing · 2022
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 15 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Max Mergenthaler-Canseco trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ingrid Daubechies (in Signal Processing)
- Erik H. W. Meijering (in Signal Processing)
Papers from Max Mergenthaler-Canseco's perspective
Ordered by how strongly the researchers Max Mergenthaler-Canseco trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Generating Long Sequences with Sparse Transformers
- A Multi-Horizon Quantile Recurrent Forecaster
- Reformer: The Efficient Transformer
- Algorithms for Hyper-Parameter Optimization
- Approximation capabilities of multilayer feedforward networks
- Automatic Time Series Forecasting: The forecast Package for R
- N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (International Conference on Learning Representations)
- Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
- Universal approximation bounds for superpositions of a sigmoidal function
Their papers
- N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting (2022) — 471 citations