EBES: Easy Benchmarking for Event Sequences
Fuente:
arXiv
Saved in:
| Main Authors: | Osin, Dmitry, Udovichenko, Igor, Moskvoretskii, Viktor, Shvetsov, Egor, Burnaev, Evgeny |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MLEM: Generative and Contrastive Learning as Distinct Modalities for Event Sequences
by: Moskvoretskii, Viktor, et al.
Published: (2024)
by: Moskvoretskii, Viktor, et al.
Published: (2024)
SeqNAS: Neural Architecture Search for Event Sequence Classification
by: Udovichenko, Igor, et al.
Published: (2024)
by: Udovichenko, Igor, et al.
Published: (2024)
How to model Human Actions distribution with Event Sequence Data
by: Surkov, Egor, et al.
Published: (2025)
by: Surkov, Egor, et al.
Published: (2025)
GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
by: Zhelnin, Maxim, et al.
Published: (2024)
by: Zhelnin, Maxim, et al.
Published: (2024)
Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models
by: Kharinaev, Artyom, et al.
Published: (2025)
by: Kharinaev, Artyom, et al.
Published: (2025)
Motivating Next-Gen Accelerators with Flexible (N:M) Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches
by: Alanova, Shirin, et al.
Published: (2025)
by: Alanova, Shirin, et al.
Published: (2025)
Risk-Averse Reinforcement Learning with Itakura-Saito Loss
by: Udovichenko, Igor, et al.
Published: (2025)
by: Udovichenko, Igor, et al.
Published: (2025)
From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction
by: Maximov, Egor, et al.
Published: (2025)
by: Maximov, Egor, et al.
Published: (2025)
Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization
by: Persiianov, Mikhail, et al.
Published: (2024)
by: Persiianov, Mikhail, et al.
Published: (2024)
A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
by: Tarasov, Roman, et al.
Published: (2025)
by: Tarasov, Roman, et al.
Published: (2025)
Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme
by: Persiianov, Mikhail, et al.
Published: (2025)
by: Persiianov, Mikhail, et al.
Published: (2025)
Estimating Barycenters of Distributions with Neural Optimal Transport
by: Kolesov, Alexander, et al.
Published: (2024)
by: Kolesov, Alexander, et al.
Published: (2024)
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
by: Tulchinskii, Eduard, et al.
Published: (2025)
by: Tulchinskii, Eduard, et al.
Published: (2025)
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning
by: Ko, Jihoon, et al.
Published: (2022)
by: Ko, Jihoon, et al.
Published: (2022)
Pretext Training Algorithms for Event Sequence Data
by: Wang, Yimu, et al.
Published: (2024)
by: Wang, Yimu, et al.
Published: (2024)
Disentanglement Learning via Topology
by: Balabin, Nikita, et al.
Published: (2023)
by: Balabin, Nikita, et al.
Published: (2023)
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
by: Kolesov, Alexander, et al.
Published: (2023)
by: Kolesov, Alexander, et al.
Published: (2023)
Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning
by: Cherepanov, Egor, et al.
Published: (2025)
by: Cherepanov, Egor, et al.
Published: (2025)
Learning to Predict, Discover, and Reason in High-Dimensional Event Sequences
by: Math, Hugo
Published: (2026)
by: Math, Hugo
Published: (2026)
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise
by: Shvetsov, Egor, et al.
Published: (2022)
by: Shvetsov, Egor, et al.
Published: (2022)
Multimodal Banking Dataset: Understanding Client Needs through Event Sequences
by: Mollaev, Dzhambulat, et al.
Published: (2024)
by: Mollaev, Dzhambulat, et al.
Published: (2024)
Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching
by: Karpukhin, Ivan, et al.
Published: (2024)
by: Karpukhin, Ivan, et al.
Published: (2024)
Challenges of Multi-Modal Coreset Selection for Depth Prediction
by: Moskvoretskii, Viktor, et al.
Published: (2025)
by: Moskvoretskii, Viktor, et al.
Published: (2025)
Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining
by: Yan, Xu, et al.
Published: (2024)
by: Yan, Xu, et al.
Published: (2024)
One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences
by: Math, Hugo, et al.
Published: (2025)
by: Math, Hugo, et al.
Published: (2025)
Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models
by: Proshian, Harry, et al.
Published: (2026)
by: Proshian, Harry, et al.
Published: (2026)
ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modeling
by: You, Weihang, et al.
Published: (2025)
by: You, Weihang, et al.
Published: (2025)
LEAF: A Living Benchmark for Event-Augmented Forecasting
by: Tan, Mingtian, et al.
Published: (2026)
by: Tan, Mingtian, et al.
Published: (2026)
Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code
by: Galimzyanov, Timur, et al.
Published: (2024)
by: Galimzyanov, Timur, et al.
Published: (2024)
Beyond Early-Token Bias: Model-Specific and Language-Specific Position Effects in Multilingual LLMs
by: Menschikov, Mikhail, et al.
Published: (2025)
by: Menschikov, Mikhail, et al.
Published: (2025)
Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
by: Sanyal, Sunny, et al.
Published: (2025)
by: Sanyal, Sunny, et al.
Published: (2025)
RobustX: Robust Counterfactual Explanations Made Easy
by: Jiang, Junqi, et al.
Published: (2025)
by: Jiang, Junqi, et al.
Published: (2025)
CogScale: Scalable Benchmark for Sequence Processing
by: Bendi-Ouis, Yannis, et al.
Published: (2026)
by: Bendi-Ouis, Yannis, et al.
Published: (2026)
ExEBench: Benchmarking Foundation Models on Extreme Earth Events
by: Zhao, Shan, et al.
Published: (2025)
by: Zhao, Shan, et al.
Published: (2025)
EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs
by: Tang, Hanlin, et al.
Published: (2024)
by: Tang, Hanlin, et al.
Published: (2024)
EasyST: A Simple Framework for Spatio-Temporal Prediction
by: Tang, Jiabin, et al.
Published: (2024)
by: Tang, Jiabin, et al.
Published: (2024)
EVIL: Evolving Interpretable Algorithms for Zero-Shot Inference on Event Sequences and Time Series with LLMs
by: Berghaus, David
Published: (2026)
by: Berghaus, David
Published: (2026)
From Internal Representations to Text Quality: A Geometric Approach to LLM Evaluation
by: Yusupov, Viacheslav, et al.
Published: (2025)
by: Yusupov, Viacheslav, et al.
Published: (2025)
Loss Barcode: A Topological Measure of Escapability in Loss Landscapes
by: Barannikov, Serguei, et al.
Published: (2020)
by: Barannikov, Serguei, et al.
Published: (2020)
Weight Scope Alignment: A Frustratingly Easy Method for Model Merging
by: Xu, Yichu, et al.
Published: (2024)
by: Xu, Yichu, et al.
Published: (2024)
Similar Items
-
MLEM: Generative and Contrastive Learning as Distinct Modalities for Event Sequences
by: Moskvoretskii, Viktor, et al.
Published: (2024) -
SeqNAS: Neural Architecture Search for Event Sequence Classification
by: Udovichenko, Igor, et al.
Published: (2024) -
How to model Human Actions distribution with Event Sequence Data
by: Surkov, Egor, et al.
Published: (2025) -
GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs
by: Zhelnin, Maxim, et al.
Published: (2024) -
Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models
by: Kharinaev, Artyom, et al.
Published: (2025)