Interpretable time series analysis with Gumbel dynamics
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Yiliu, Kim, Timothy Doyeon, Shea-Brown, Eric, Sümbül, Uygar |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Identifying Connectivity Distributions from Neural Dynamics Using Flows
por: Kim, Timothy Doyeon, et al.
Publicado: (2026)
por: Kim, Timothy Doyeon, et al.
Publicado: (2026)
Which Quantization Should I Use? A Unified Evaluation of llama.cpp Quantization on Llama-3.1-8B-Instruct
por: Kurt, Uygar
Publicado: (2026)
por: Kurt, Uygar
Publicado: (2026)
Gumbel-MPNN: Graph Rewiring with Gumbel-Softmax
por: Hoffmann, Marcel, et al.
Publicado: (2025)
por: Hoffmann, Marcel, et al.
Publicado: (2025)
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding
por: Le, Trung, et al.
Publicado: (2025)
por: Le, Trung, et al.
Publicado: (2025)
Refined Detection for Gumbel Watermarking
por: Lattimore, Tor
Publicado: (2026)
por: Lattimore, Tor
Publicado: (2026)
State-Space NTK Collapse Near Bifurcations
por: Hazelden, James, et al.
Publicado: (2026)
por: Hazelden, James, et al.
Publicado: (2026)
A simple connection from loss flatness to compressed neural representations
por: Chen, Shirui, et al.
Publicado: (2023)
por: Chen, Shirui, et al.
Publicado: (2023)
Gumbel Distillation for Parallel Text Generation
por: Zhang, Chi, et al.
Publicado: (2026)
por: Zhang, Chi, et al.
Publicado: (2026)
Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function
por: Grim, Anna, et al.
Publicado: (2025)
por: Grim, Anna, et al.
Publicado: (2025)
Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring
por: Jung, Hee-Jun, et al.
Publicado: (2022)
por: Jung, Hee-Jun, et al.
Publicado: (2022)
QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning
por: Lee, Doyeon, et al.
Publicado: (2026)
por: Lee, Doyeon, et al.
Publicado: (2026)
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming
por: Niu, Xinlei, et al.
Publicado: (2023)
por: Niu, Xinlei, et al.
Publicado: (2023)
MAGE: All-[MASK] Block Already Knows Where to Look in Diffusion LLM
por: Kwon, Omin, et al.
Publicado: (2026)
por: Kwon, Omin, et al.
Publicado: (2026)
Gumbel Counterfactual Generation From Language Models
por: Ravfogel, Shauli, et al.
Publicado: (2024)
por: Ravfogel, Shauli, et al.
Publicado: (2024)
DCIts -- Deep Convolutional Interpreter for time series
por: Horvatic, Davor, et al.
Publicado: (2025)
por: Horvatic, Davor, et al.
Publicado: (2025)
The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning
por: Hazelden, James, et al.
Publicado: (2026)
por: Hazelden, James, et al.
Publicado: (2026)
Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User Preferences
por: Koo, Jabin, et al.
Publicado: (2026)
por: Koo, Jabin, et al.
Publicado: (2026)
Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation
por: Tang, Sophia, et al.
Publicado: (2025)
por: Tang, Sophia, et al.
Publicado: (2025)
Discovering group dynamics in coordinated time series via hierarchical recurrent switching-state models
por: Wojnowicz, Michael T., et al.
Publicado: (2024)
por: Wojnowicz, Michael T., et al.
Publicado: (2024)
Revisiting Tree Search for LLMs: Gumbel and Sequential Halving for Budget-Scalable Reasoning
por: Ugadiarov, Leonid, et al.
Publicado: (2026)
por: Ugadiarov, Leonid, et al.
Publicado: (2026)
KPFlow: An Operator Perspective on Dynamic Collapse Under Gradient Descent Training of Recurrent Networks
por: Hazelden, James, et al.
Publicado: (2025)
por: Hazelden, James, et al.
Publicado: (2025)
GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling
por: Dadgarnia, Alireza, et al.
Publicado: (2026)
por: Dadgarnia, Alireza, et al.
Publicado: (2026)
Large Pre-trained time series models for cross-domain Time series analysis tasks
por: Kamarthi, Harshavardhan, et al.
Publicado: (2023)
por: Kamarthi, Harshavardhan, et al.
Publicado: (2023)
Can time series forecasting be automated? A benchmark and analysis
por: Sreedhara, Anvitha Thirthapura, et al.
Publicado: (2024)
por: Sreedhara, Anvitha Thirthapura, et al.
Publicado: (2024)
Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks
por: Strypsteen, Thomas, et al.
Publicado: (2024)
por: Strypsteen, Thomas, et al.
Publicado: (2024)
Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions
por: Ke, Zemian, et al.
Publicado: (2024)
por: Ke, Zemian, et al.
Publicado: (2024)
SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization
por: Zheng, Zhi, et al.
Publicado: (2025)
por: Zheng, Zhi, et al.
Publicado: (2025)
Interpretable facial dynamics as behavioral and perceptual traces of deepfakes
por: Murphy, Timothy Joseph, et al.
Publicado: (2026)
por: Murphy, Timothy Joseph, et al.
Publicado: (2026)
NUM2EVENT: Interpretable Event Reasoning from Numerical time-series
por: Feng, Ninghui, et al.
Publicado: (2025)
por: Feng, Ninghui, et al.
Publicado: (2025)
Towards Accurate and Interpretable Time-series Forecasting: A Polynomial Learning Approach
por: Liu, Bo, et al.
Publicado: (2026)
por: Liu, Bo, et al.
Publicado: (2026)
TOKON: TOKenization-Optimized Normalization for time series analysis with a large language model
por: Yang, Janghoon
Publicado: (2025)
por: Yang, Janghoon
Publicado: (2025)
Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs
por: Werner, Julia, et al.
Publicado: (2023)
por: Werner, Julia, et al.
Publicado: (2023)
Multi-scale hypergraph meets LLMs: Aligning large language models for time series analysis
por: Shang, Zongjiang, et al.
Publicado: (2026)
por: Shang, Zongjiang, et al.
Publicado: (2026)
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification
por: Wen, Yunshi, et al.
Publicado: (2024)
por: Wen, Yunshi, et al.
Publicado: (2024)
Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback?
por: Kalra, Akansha, et al.
Publicado: (2023)
por: Kalra, Akansha, et al.
Publicado: (2023)
Interpretable Self-Supervised Learning via Representer Landmarks and Nyström Approximation
por: Zarvandi, Maedeh, et al.
Publicado: (2025)
por: Zarvandi, Maedeh, et al.
Publicado: (2025)
Discovering stochastic dynamical equations from biological time series data
por: Nabeel, Arshed, et al.
Publicado: (2022)
por: Nabeel, Arshed, et al.
Publicado: (2022)
Machine learning algorithms to predict stroke in China based on causal inference of time series analysis
por: Zheng, Qizhi, et al.
Publicado: (2025)
por: Zheng, Qizhi, et al.
Publicado: (2025)
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis
por: Yokoyama, Hiroshi, et al.
Publicado: (2024)
por: Yokoyama, Hiroshi, et al.
Publicado: (2024)
On time series clustering with k-means
por: Holder, Christopher, et al.
Publicado: (2024)
por: Holder, Christopher, et al.
Publicado: (2024)
Ejemplares similares
-
Identifying Connectivity Distributions from Neural Dynamics Using Flows
por: Kim, Timothy Doyeon, et al.
Publicado: (2026) -
Which Quantization Should I Use? A Unified Evaluation of llama.cpp Quantization on Llama-3.1-8B-Instruct
por: Kurt, Uygar
Publicado: (2026) -
Gumbel-MPNN: Graph Rewiring with Gumbel-Softmax
por: Hoffmann, Marcel, et al.
Publicado: (2025) -
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding
por: Le, Trung, et al.
Publicado: (2025) -
Refined Detection for Gumbel Watermarking
por: Lattimore, Tor
Publicado: (2026)