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In it's current form, state space models have an overhead issue. Reparameterizing certain models performs redundant calculations. This isn't obvious with [Harvey-Trimbur](https://github.com/charleskni…
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mCRL2 models generated by `mcrl22lps` may introduce global variables. When generating the LTS using `lps2lts-*` tools, these models result in a state space that is larger than strictly needed.
The …
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# URL
- https://arxiv.org/abs/2403.19888
# Affiliations
- Ali Behrouz, N/A
- Michele Santacatterina, N/A
- Ramin Zabih, N/A
# Abstract
- Recent advances in deep learning have mainly relied on …
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Hello, thank you for your great work! M2bert paper mentioned that "Monarch Mixer is part of a new class of architectures called state-space models (SSMs), which include S4, Mamba, and BiGS".
Is Monar…
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State space models are applied broadly across fields including computer science, statistics and engineering, using a wide array of methods for their estimation and inference. Despite the plethora of t…
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I am building an encoder/decoder architecture where the encoder and decoder are S4 models. Since this is for a generative task I want to use the step function defined in the SequenceModel class for in…
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The PurificationMPS views the purified state as an MPS with an additional extra leg q, i.e. it explicitly distinguishes the ancilla from the physical hilbert space.
Thus, algorithm engines that shoul…
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This initiative was rated:
- Medium: 1 time.
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Now that a core model set is available, it is time to look to optimize the code to allow for quicker estimation and scalability to larger datasets.
**Model**
- [x] ARIMA models
- [ ] GARCH models
- […
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### What happened + What you expected to happen
The new API stack for RLlib seems to have challenges with observation wrappers, which are quite handy for action masking models. Unlike #44452, it is n…