Clifford Algebraic Rotor Embeddings : Maybe embeddings should start to CARE
Fuente:
arXiv
Saved in:
| Main Authors: | Sriram, Sameeksha, Paliwal, Ayush, Ecker, Alexander S., van de Geijn, Chase |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Do traveling waves make good positional encodings?
by: van de Geijn, Chase, et al.
Published: (2025)
by: van de Geijn, Chase, et al.
Published: (2025)
A Circular Argument : Does RoPE need to be Equivariant for Vision?
by: van de Geijn, Chase, et al.
Published: (2025)
by: van de Geijn, Chase, et al.
Published: (2025)
Embedding Knowledge Graphs in Degenerate Clifford Algebras
by: Teyou, Louis Mozart Kamdem, et al.
Published: (2024)
by: Teyou, Louis Mozart Kamdem, et al.
Published: (2024)
From Worms to Mice: Homeostasis Maybe All You Need
by: de Lucas, Jesus Marco
Published: (2024)
by: de Lucas, Jesus Marco
Published: (2024)
FLASHμ: Fast Localizing And Sizing of Holographic Microparticles
by: Paliwal, Ayush, et al.
Published: (2025)
by: Paliwal, Ayush, et al.
Published: (2025)
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
by: Jin, Hongye, et al.
Published: (2024)
by: Jin, Hongye, et al.
Published: (2024)
Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval
by: Pacini, Giacomo, et al.
Published: (2024)
by: Pacini, Giacomo, et al.
Published: (2024)
Clifford Kolmogorov-Arnold Networks
by: Wolff, Matthias, et al.
Published: (2026)
by: Wolff, Matthias, et al.
Published: (2026)
Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks
by: Bhuiyan, Masudul Hasan Masud, et al.
Published: (2025)
by: Bhuiyan, Masudul Hasan Masud, et al.
Published: (2025)
Graph Transformers without Positional Encodings
by: Garg, Ayush
Published: (2024)
by: Garg, Ayush
Published: (2024)
Metric Learning for Clifford Group Equivariant Neural Networks
by: Ali, Riccardo, et al.
Published: (2024)
by: Ali, Riccardo, et al.
Published: (2024)
Clifford-Steerable Convolutional Neural Networks
by: Zhdanov, Maksim, et al.
Published: (2024)
by: Zhdanov, Maksim, et al.
Published: (2024)
What should an AI assessor optimise for?
by: Romero-Alvarado, Daniel, et al.
Published: (2025)
by: Romero-Alvarado, Daniel, et al.
Published: (2025)
DualBind: A Dual-Loss Framework for Protein-Ligand Binding Affinity Prediction
by: Liu, Meng, et al.
Published: (2024)
by: Liu, Meng, et al.
Published: (2024)
CARE: Turning LLMs Into Causal Reasoning Expert
by: Dong, Juncheng, et al.
Published: (2025)
by: Dong, Juncheng, et al.
Published: (2025)
Neural Isomorphic Fields: A Transformer-based Algebraic Numerical Embedding
by: Sadeghi, Hamidreza, et al.
Published: (2026)
by: Sadeghi, Hamidreza, et al.
Published: (2026)
CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation
by: Zhao, Jitian, et al.
Published: (2026)
by: Zhao, Jitian, et al.
Published: (2026)
Reinforcement Learning for Graph Coloring: Understanding the Power and Limits of Non-Label Invariant Representations
by: Cummins, Chase, et al.
Published: (2024)
by: Cummins, Chase, et al.
Published: (2024)
Position: agentic AI orchestration should be Bayes-consistent
by: Papamarkou, Theodore, et al.
Published: (2026)
by: Papamarkou, Theodore, et al.
Published: (2026)
Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data
by: Jia, Zeyu, et al.
Published: (2024)
by: Jia, Zeyu, et al.
Published: (2024)
Algebraic Positional Encodings
by: Kogkalidis, Konstantinos, et al.
Published: (2023)
by: Kogkalidis, Konstantinos, et al.
Published: (2023)
Which LIME should I trust? Concepts, Challenges, and Solutions
by: Knab, Patrick, et al.
Published: (2025)
by: Knab, Patrick, et al.
Published: (2025)
Weak Supervision for Improved Precision in Search Systems
by: Vasudevan, Sriram
Published: (2025)
by: Vasudevan, Sriram
Published: (2025)
Approximate Fiber Product: A Preliminary Algebraic-Geometric Perspective on Multimodal Embedding Alignment
by: Zhao, Dongfang
Published: (2024)
by: Zhao, Dongfang
Published: (2024)
CARE What Fails: Contrastive Anchored-REflection for Verifiable Multimodal Reasoning
by: Wang, Yongxin, et al.
Published: (2025)
by: Wang, Yongxin, et al.
Published: (2025)
AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models
by: Santosh, KC, et al.
Published: (2026)
by: Santosh, KC, et al.
Published: (2026)
Conditional Clifford-Steerable CNNs with Complete Kernel Basis for PDE Modeling
by: Szarvas, Bálint László, et al.
Published: (2025)
by: Szarvas, Bálint László, et al.
Published: (2025)
Clifford Group Equivariant Diffusion Models for 3D Molecular Generation
by: Liu, Cong, et al.
Published: (2025)
by: Liu, Cong, et al.
Published: (2025)
The Gradient of Algebraic Model Counting
by: Maene, Jaron, et al.
Published: (2025)
by: Maene, Jaron, et al.
Published: (2025)
When should we prefer Decision Transformers for Offline Reinforcement Learning?
by: Bhargava, Prajjwal, et al.
Published: (2023)
by: Bhargava, Prajjwal, et al.
Published: (2023)
RiskSEA : A Scalable Graph Embedding for Detecting On-chain Fraudulent Activities on the Ethereum Blockchain
by: Agarwal, Ayush, et al.
Published: (2024)
by: Agarwal, Ayush, et al.
Published: (2024)
On the Theoretical Limitations of Embedding-based Link Prediction
by: Badreddine, Samy, et al.
Published: (2025)
by: Badreddine, Samy, et al.
Published: (2025)
Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space
by: van Spengler, Max, et al.
Published: (2025)
by: van Spengler, Max, et al.
Published: (2025)
Context Matters: Leveraging Contextual Features for Time Series Forecasting
by: Chattopadhyay, Sameep, et al.
Published: (2024)
by: Chattopadhyay, Sameep, et al.
Published: (2024)
Complexity-based code embeddings
by: Folea, Rares, et al.
Published: (2026)
by: Folea, Rares, et al.
Published: (2026)
FedCARE: Federated Unlearning with Conflict-Aware Projection and Relearning-Resistant Recovery
by: Li, Yue, et al.
Published: (2026)
by: Li, Yue, et al.
Published: (2026)
CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts
by: Zhang, Rui, et al.
Published: (2026)
by: Zhang, Rui, et al.
Published: (2026)
Graders should cheat: privileged information enables expert-level automated evaluations
by: Zhou, Jin Peng, et al.
Published: (2025)
by: Zhou, Jin Peng, et al.
Published: (2025)
Algebraic Priors for Approximately Equivariant Networks
by: Ali, Riccardo, et al.
Published: (2025)
by: Ali, Riccardo, et al.
Published: (2025)
CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention
by: Zhou, Zhongzhu, et al.
Published: (2026)
by: Zhou, Zhongzhu, et al.
Published: (2026)
Similar Items
-
Do traveling waves make good positional encodings?
by: van de Geijn, Chase, et al.
Published: (2025) -
A Circular Argument : Does RoPE need to be Equivariant for Vision?
by: van de Geijn, Chase, et al.
Published: (2025) -
Embedding Knowledge Graphs in Degenerate Clifford Algebras
by: Teyou, Louis Mozart Kamdem, et al.
Published: (2024) -
From Worms to Mice: Homeostasis Maybe All You Need
by: de Lucas, Jesus Marco
Published: (2024) -
FLASHμ: Fast Localizing And Sizing of Holographic Microparticles
by: Paliwal, Ayush, et al.
Published: (2025)