Representation Alignment Rests on Linear Structure
Fuente:
arXiv
Saved in:
| Main Authors: | Bangachev, Kiril, Bresler, Guy, Polyanskiy, Yury |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Global Minimizers of Sigmoid Contrastive Loss
by: Bangachev, Kiril, et al.
Published: (2025)
by: Bangachev, Kiril, et al.
Published: (2025)
Is Dimensionality a Barrier for Retrieval Models?
by: Bangachev, Kiril, et al.
Published: (2026)
by: Bangachev, Kiril, et al.
Published: (2026)
Random Algebraic Graphs and Their Convergence to ErdőS–Rényi
by: Kiril Bangachev, et al.
Published: (2025)
by: Kiril Bangachev, et al.
Published: (2025)
On The Fourier Coefficients of High-Dimensional Random Geometric Graphs
by: Bangachev, Kiril, et al.
Published: (2024)
by: Bangachev, Kiril, et al.
Published: (2024)
Graph Quasirandomness for Hypothesis Testing of Stochastic Block Models
by: Bangachev, Kiril, et al.
Published: (2025)
by: Bangachev, Kiril, et al.
Published: (2025)
Sandwiching Random Geometric Graphs and Erdos-Renyi with Applications: Sharp Thresholds, Robust Testing, and Enumeration
by: Bangachev, Kiril, et al.
Published: (2024)
by: Bangachev, Kiril, et al.
Published: (2024)
High-Rate Quantized Matrix Multiplication II
by: Ordentlich, Or, et al.
Published: (2026)
by: Ordentlich, Or, et al.
Published: (2026)
Optimal Quantization for Matrix Multiplication
by: Ordentlich, Or, et al.
Published: (2024)
by: Ordentlich, Or, et al.
Published: (2024)
YuriiFormer: A Suite of Nesterov-Accelerated Transformers
by: Zimin, Aleksandr, et al.
Published: (2026)
by: Zimin, Aleksandr, et al.
Published: (2026)
Near-Optimal Time-Sparsity Trade-Offs for Solving Noisy Linear Equations
by: Bangachev, Kiril, et al.
Published: (2024)
by: Bangachev, Kiril, et al.
Published: (2024)
NestQuant: Nested Lattice Quantization for Matrix Products and LLMs
by: Savkin, Semyon, et al.
Published: (2025)
by: Savkin, Semyon, et al.
Published: (2025)
mini-vec2vec: Scaling Universal Geometry Alignment with Linear Transformations
by: Dar, Guy
Published: (2025)
by: Dar, Guy
Published: (2025)
Scaling Limits of Long-Context Transformers
by: Bruno, Giuseppe, et al.
Published: (2026)
by: Bruno, Giuseppe, et al.
Published: (2026)
Critical attention scaling in long-context transformers
by: Chen, Shi, et al.
Published: (2025)
by: Chen, Shi, et al.
Published: (2025)
Multi-Way Representation Alignment
by: Achara, Akshit, et al.
Published: (2026)
by: Achara, Akshit, et al.
Published: (2026)
Learned Bayesian Cramér-Rao Bound for Unknown Measurement Models Using Score Neural Networks
by: Habi, Hai Victor, et al.
Published: (2025)
by: Habi, Hai Victor, et al.
Published: (2025)
Representation-Driven Reinforcement Learning
by: Nabati, Ofir, et al.
Published: (2023)
by: Nabati, Ofir, et al.
Published: (2023)
Understanding the Emergence of Multimodal Representation Alignment
by: Tjandrasuwita, Megan, et al.
Published: (2025)
by: Tjandrasuwita, Megan, et al.
Published: (2025)
Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees
by: Hassidof, Yaniv, et al.
Published: (2025)
by: Hassidof, Yaniv, et al.
Published: (2025)
Towards a Learning Theory of Representation Alignment
by: Insulla, Francesco, et al.
Published: (2025)
by: Insulla, Francesco, et al.
Published: (2025)
Convergent Linear Representations of Emergent Misalignment
by: Soligo, Anna, et al.
Published: (2025)
by: Soligo, Anna, et al.
Published: (2025)
Structural Alignment in Link Prediction
by: Sardina, Jeffrey Seathrún
Published: (2025)
by: Sardina, Jeffrey Seathrún
Published: (2025)
Optimal Sequential Recommendations: Exploiting User and Item Structure
by: Karzand, Mina, et al.
Published: (2025)
by: Karzand, Mina, et al.
Published: (2025)
Diffusion Model with Representation Alignment for Protein Inverse Folding
by: Wang, Chenglin, et al.
Published: (2024)
by: Wang, Chenglin, et al.
Published: (2024)
Learning Chemical Reaction Representation with Reactant-Product Alignment
by: Zeng, Kaipeng, et al.
Published: (2024)
by: Zeng, Kaipeng, et al.
Published: (2024)
Conservative Contextual Bandits: Beyond Linear Representations
by: Deb, Rohan, et al.
Published: (2024)
by: Deb, Rohan, et al.
Published: (2024)
No Alignment Needed for Generation: Learning Linearly Separable Representations in Diffusion Models
by: Yun, Junno, et al.
Published: (2025)
by: Yun, Junno, et al.
Published: (2025)
Plan First, Diffuse Later: Extrinsic Graph Guidance for Long-Horizon Diffusion Planning
by: Hassidof, Yaniv, et al.
Published: (2026)
by: Hassidof, Yaniv, et al.
Published: (2026)
Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning
by: Zhao, Hengwei, et al.
Published: (2025)
by: Zhao, Hengwei, et al.
Published: (2025)
Representational Alignment with Chemical Induced Fit for Molecular Relational Learning
by: Zhang, Peiliang, et al.
Published: (2025)
by: Zhang, Peiliang, et al.
Published: (2025)
Structured Relational Representations
by: Kumar, Arun, et al.
Published: (2025)
by: Kumar, Arun, et al.
Published: (2025)
Identifying General Mechanism Shifts in Linear Causal Representations
by: Chen, Tianyu, et al.
Published: (2024)
by: Chen, Tianyu, et al.
Published: (2024)
Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations
by: Neves, Christopher, et al.
Published: (2024)
by: Neves, Christopher, et al.
Published: (2024)
High-Rate Quantized Matrix Multiplication I
by: Ordentlich, Or, et al.
Published: (2026)
by: Ordentlich, Or, et al.
Published: (2026)
Learning Distinguishable Representations in Deep Q-Networks for Linear Transfer
by: Sathish, Sooraj, et al.
Published: (2025)
by: Sathish, Sooraj, et al.
Published: (2025)
How to Marginalize in Causal Structure Learning?
by: Zhao, William, et al.
Published: (2025)
by: Zhao, William, et al.
Published: (2025)
Clustering in Causal Attention Masking
by: Karagodin, Nikita, et al.
Published: (2024)
by: Karagodin, Nikita, et al.
Published: (2024)
Exploiting Latent Linearity in LLMs Improves Explainable Molecular Representation Learning
by: Li, Zhuoran, et al.
Published: (2024)
by: Li, Zhuoran, et al.
Published: (2024)
Self-Clustering Graph Transformer Approach to Model Resting-State Functional Brain Activity
by: Thapaliya, Bishal, et al.
Published: (2025)
by: Thapaliya, Bishal, et al.
Published: (2025)
Thresholds for Reconstruction of Random Hypergraphs From Graph Projections
by: Bresler, Guy, et al.
Published: (2025)
by: Bresler, Guy, et al.
Published: (2025)
Similar Items
-
Global Minimizers of Sigmoid Contrastive Loss
by: Bangachev, Kiril, et al.
Published: (2025) -
Is Dimensionality a Barrier for Retrieval Models?
by: Bangachev, Kiril, et al.
Published: (2026) -
Random Algebraic Graphs and Their Convergence to ErdőS–Rényi
by: Kiril Bangachev, et al.
Published: (2025) -
On The Fourier Coefficients of High-Dimensional Random Geometric Graphs
by: Bangachev, Kiril, et al.
Published: (2024) -
Graph Quasirandomness for Hypothesis Testing of Stochastic Block Models
by: Bangachev, Kiril, et al.
Published: (2025)