Saved in:
| Main Authors: | Balik, Mihriban Kocak, Marttinen, Pekka, Safinianaini, Negar |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.03464 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Medical Multi-modal Contrastive Learning with Expert Annotations
by: Kumar, Yogesh, et al.
Published: (2024)
by: Kumar, Yogesh, et al.
Published: (2024)
Identifiable causal inference with noisy treatment and no side information
by: Pöllänen, Antti, et al.
Published: (2023)
by: Pöllänen, Antti, et al.
Published: (2023)
Object-level Self-Distillation for Vision Pretraining
by: Hızlı, Çağlar, et al.
Published: (2025)
by: Hızlı, Çağlar, et al.
Published: (2025)
Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems
by: Haitsiukevich, Katsiaryna, et al.
Published: (2024)
by: Haitsiukevich, Katsiaryna, et al.
Published: (2024)
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
by: Merler, Matteo, et al.
Published: (2024)
by: Merler, Matteo, et al.
Published: (2024)
Efficient Knowledge Injection in LLMs via Self-Distillation
by: Kujanpää, Kalle, et al.
Published: (2024)
by: Kujanpää, Kalle, et al.
Published: (2024)
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
by: Nikitin, Alexander, et al.
Published: (2024)
by: Nikitin, Alexander, et al.
Published: (2024)
Identifying latent state transition in non-linear dynamical systems
by: Hızlı, Çağlar, et al.
Published: (2024)
by: Hızlı, Çağlar, et al.
Published: (2024)
Recursive Decomposition with Dependencies for Generic Divide-and-Conquer Reasoning
by: Hernández-Gutiérrez, Sergio, et al.
Published: (2025)
by: Hernández-Gutiérrez, Sergio, et al.
Published: (2025)
Comparing Federated Stochastic Gradient Descent and Federated Averaging for Predicting Hospital Length of Stay
by: Balik, Mehmet Yigit
Published: (2024)
by: Balik, Mehmet Yigit
Published: (2024)
Query-Guided Self-Supervised Summarization of Nursing Notes
by: Gao, Ya, et al.
Published: (2024)
by: Gao, Ya, et al.
Published: (2024)
Distributionally robust approximation property of neural networks
by: Ceylan, Mihriban, et al.
Published: (2025)
by: Ceylan, Mihriban, et al.
Published: (2025)
Global universal approximation with Brownian signatures
by: Ceylan, Mihriban, et al.
Published: (2025)
by: Ceylan, Mihriban, et al.
Published: (2025)
Global universality via discrete-time signatures
by: Ceylan, Mihriban, et al.
Published: (2026)
by: Ceylan, Mihriban, et al.
Published: (2026)
Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization
by: Alakuijala, Minttu, et al.
Published: (2025)
by: Alakuijala, Minttu, et al.
Published: (2025)
Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model
by: Moen, Hans, et al.
Published: (2024)
by: Moen, Hans, et al.
Published: (2024)
Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence
by: Li, Zhiyuan, et al.
Published: (2026)
by: Li, Zhiyuan, et al.
Published: (2026)
Interpretable deep learning in single-cell omics
by: Wagle, Manoj M, et al.
Published: (2024)
by: Wagle, Manoj M, et al.
Published: (2024)
Modeling Temporal scRNA-seq Data with Latent Gaussian Process and Optimal Transport
by: Balik, Mehmet Yigit, et al.
Published: (2026)
by: Balik, Mehmet Yigit, et al.
Published: (2026)
Matching Multiple Experts: On the Exploitability of Multi-Agent Imitation Learning
by: Bergerault, Antoine, et al.
Published: (2026)
by: Bergerault, Antoine, et al.
Published: (2026)
Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures of Linear Experts
by: Folino, Francesco, et al.
Published: (2024)
by: Folino, Francesco, et al.
Published: (2024)
Multi-omic Causal Discovery using Genotypes and Gene Expression
by: Asiedu, Stephen, et al.
Published: (2025)
by: Asiedu, Stephen, et al.
Published: (2025)
Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval
by: Park, Seongwan, et al.
Published: (2025)
by: Park, Seongwan, et al.
Published: (2025)
RawMal-TF: Raw Malware Dataset Labeled by Type and Family
by: Bálik, David, et al.
Published: (2025)
by: Bálik, David, et al.
Published: (2025)
Universal approximation with signatures of non-geometric rough paths
by: Ceylan, Mihriban, et al.
Published: (2026)
by: Ceylan, Mihriban, et al.
Published: (2026)
SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registration
by: Honkamaa, Joel, et al.
Published: (2023)
by: Honkamaa, Joel, et al.
Published: (2023)
Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios
by: Clark, Emma, et al.
Published: (2024)
by: Clark, Emma, et al.
Published: (2024)
scI2CL: Effectively Integrating Single-cell Multi-omics by Intra- and Inter-omics Contrastive Learning
by: Liu, Wuchao, et al.
Published: (2025)
by: Liu, Wuchao, et al.
Published: (2025)
MoRE-GNN: Multi-omics Data Integration with a Heterogeneous Graph Autoencoder
by: Wang, Zhiyu, et al.
Published: (2025)
by: Wang, Zhiyu, et al.
Published: (2025)
Expert Merging in Sparse Mixture of Experts with Nash Bargaining
by: Nguyen, Dung V., et al.
Published: (2025)
by: Nguyen, Dung V., et al.
Published: (2025)
Video-Language Critic: Transferable Reward Functions for Language-Conditioned Robotics
by: Alakuijala, Minttu, et al.
Published: (2024)
by: Alakuijala, Minttu, et al.
Published: (2024)
Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder
by: Xu, Zhen, et al.
Published: (2025)
by: Xu, Zhen, et al.
Published: (2025)
Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models
by: Muhamed, Aashiq, et al.
Published: (2024)
by: Muhamed, Aashiq, et al.
Published: (2024)
Binary Sparse Coding for Interpretability
by: Quirke, Lucia, et al.
Published: (2025)
by: Quirke, Lucia, et al.
Published: (2025)
XNNTab -- Interpretable Neural Networks for Tabular Data using Sparse Autoencoders
by: Elhadri, Khawla, et al.
Published: (2025)
by: Elhadri, Khawla, et al.
Published: (2025)
MINDSETS: Multi-omics Integration with Neuroimaging for Dementia Subtyping and Effective Temporal Study
by: Hassan, Salma, et al.
Published: (2024)
by: Hassan, Salma, et al.
Published: (2024)
Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts
by: Chen, Shengzhuang, et al.
Published: (2025)
by: Chen, Shengzhuang, et al.
Published: (2025)
On the Role of Discrete Representation in Sparse Mixture of Experts
by: Do, Giang, et al.
Published: (2024)
by: Do, Giang, et al.
Published: (2024)
Online learning with Erdős-Rényi side-observation graphs
by: Kocák, Tomáš, et al.
Published: (2026)
by: Kocák, Tomáš, et al.
Published: (2026)
Online learning with noisy side observations
by: Kocák, Tomáš, et al.
Published: (2026)
by: Kocák, Tomáš, et al.
Published: (2026)
Similar Items
-
Improving Medical Multi-modal Contrastive Learning with Expert Annotations
by: Kumar, Yogesh, et al.
Published: (2024) -
Identifiable causal inference with noisy treatment and no side information
by: Pöllänen, Antti, et al.
Published: (2023) -
Object-level Self-Distillation for Vision Pretraining
by: Hızlı, Çağlar, et al.
Published: (2025) -
Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems
by: Haitsiukevich, Katsiaryna, et al.
Published: (2024) -
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
by: Merler, Matteo, et al.
Published: (2024)