Learning Equivariant Functions via Quadratic Forms
Fuente:
arXiv
Saved in:
| Main Authors: | Karjol, Pavan, Kashyap, Vivek V, Kashyap, Rohan, P, Prathosh A |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries
by: Karjol, Pavan, et al.
Published: (2025)
by: Karjol, Pavan, et al.
Published: (2025)
Spectral Discovery of Continuous Symmetries via Generalized Fourier Transforms
by: Karjol, Pavan, et al.
Published: (2026)
by: Karjol, Pavan, et al.
Published: (2026)
Bayesian Pseudo-Coresets via Contrastive Divergence
by: Tiwary, Piyush, et al.
Published: (2023)
by: Tiwary, Piyush, et al.
Published: (2023)
Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise
by: Shubham, Kumar, et al.
Published: (2026)
by: Shubham, Kumar, et al.
Published: (2026)
PSK@EEUCA 2026: Fine-Tuning Large Language Models with Synthetic Data Augmentation for Multi-Class Toxicity Detection in Gaming Chat
by: Pulipaka, Srikar Kashyap
Published: (2026)
by: Pulipaka, Srikar Kashyap
Published: (2026)
Modeling chaotic Lorenz ODE System using Scientific Machine Learning
by: Kashyap, Sameera S, et al.
Published: (2024)
by: Kashyap, Sameera S, et al.
Published: (2024)
PSK at SemEval-2026 Task 9: Multilingual Polarization Detection Using Ensemble Gemma Models with Synthetic Data Augmentation
by: Pulipaka, Srikar Kashyap
Published: (2026)
by: Pulipaka, Srikar Kashyap
Published: (2026)
FAST: Feature Aware Similarity Thresholding for Weak Unlearning in Black-Box Generative Models
by: Panda, Subhodip, et al.
Published: (2023)
by: Panda, Subhodip, et al.
Published: (2023)
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation
by: Ranaweera, Kanishka, et al.
Published: (2025)
by: Ranaweera, Kanishka, et al.
Published: (2025)
Can We Predict the Unpredictable? Leveraging DisasterNet-LLM for Multimodal Disaster Classification
by: Kulahara, Manaswi, et al.
Published: (2025)
by: Kulahara, Manaswi, et al.
Published: (2025)
A pipeline for enabling path-specific causal fairness in observational health data
by: Kashyap, Aparajita, et al.
Published: (2026)
by: Kashyap, Aparajita, et al.
Published: (2026)
CaRL: Learning Scalable Planning Policies with Simple Rewards
by: Jaeger, Bernhard, et al.
Published: (2025)
by: Jaeger, Bernhard, et al.
Published: (2025)
Quantifying Modality Contributions via Disentangling Multimodal Representations
by: Amit, Padegal, et al.
Published: (2025)
by: Amit, Padegal, et al.
Published: (2025)
An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks
by: Bharadwaj, Vivek, et al.
Published: (2025)
by: Bharadwaj, Vivek, et al.
Published: (2025)
Unsupervised Learning for Quadratic Assignment
by: Min, Yimeng, et al.
Published: (2025)
by: Min, Yimeng, et al.
Published: (2025)
Learning (Approximately) Equivariant Networks via Constrained Optimization
by: Manolache, Andrei, et al.
Published: (2025)
by: Manolache, Andrei, et al.
Published: (2025)
SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic
by: Chitta, Kashyap, et al.
Published: (2024)
by: Chitta, Kashyap, et al.
Published: (2024)
f-INE: A Hypothesis Testing Framework for Estimating Influence under Training Randomness
by: Panda, Subhodip, et al.
Published: (2025)
by: Panda, Subhodip, et al.
Published: (2025)
Beyond Johnson-Lindenstrauss: Uniform Bounds for Sketched Bilinear Forms
by: Deb, Rohan, et al.
Published: (2025)
by: Deb, Rohan, et al.
Published: (2025)
AdaKD: Dynamic Knowledge Distillation of ASR models using Adaptive Loss Weighting
by: Ganguly, Shreyan, et al.
Published: (2024)
by: Ganguly, Shreyan, et al.
Published: (2024)
Contrastive Learning Via Equivariant Representation
by: Song, Sifan, et al.
Published: (2024)
by: Song, Sifan, et al.
Published: (2024)
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
by: McClellan, Joshua, et al.
Published: (2024)
by: McClellan, Joshua, et al.
Published: (2024)
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
by: Kim, Jinwoo, et al.
Published: (2023)
by: Kim, Jinwoo, et al.
Published: (2023)
Equivariant Evidential Deep Learning for Interatomic Potentials
by: Wang, Zhongyao, et al.
Published: (2026)
by: Wang, Zhongyao, et al.
Published: (2026)
Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks
by: Tiwary, Piyush, et al.
Published: (2023)
by: Tiwary, Piyush, et al.
Published: (2023)
Foundation Model Forecasts: Form and Function
by: Perez-Diaz, Alvaro, et al.
Published: (2025)
by: Perez-Diaz, Alvaro, et al.
Published: (2025)
On Implications of Scaling Laws on Feature Superposition
by: Katta, Pavan
Published: (2024)
by: Katta, Pavan
Published: (2024)
GradMetaNet: An Equivariant Architecture for Learning on Gradients
by: Gelberg, Yoav, et al.
Published: (2025)
by: Gelberg, Yoav, et al.
Published: (2025)
Metric Learning for Clifford Group Equivariant Neural Networks
by: Ali, Riccardo, et al.
Published: (2024)
by: Ali, Riccardo, et al.
Published: (2024)
List Replicable Reinforcement Learning
by: Zhang, Bohan, et al.
Published: (2025)
by: Zhang, Bohan, et al.
Published: (2025)
LoMOE: Localized Multi-Object Editing via Multi-Diffusion
by: Chakrabarty, Goirik, et al.
Published: (2024)
by: Chakrabarty, Goirik, et al.
Published: (2024)
Multiple Invertible and Partial-Equivariant Function for Latent Vector Transformation to Enhance Disentanglement in VAEs
by: Jung, Hee-Jun, et al.
Published: (2025)
by: Jung, Hee-Jun, et al.
Published: (2025)
Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning
by: Bettker, R. V., et al.
Published: (2022)
by: Bettker, R. V., et al.
Published: (2022)
Preserving Bilinear Weight Spectra with a Signed and Shrunk Quadratic Activation Function
by: Abohwo, Jason, et al.
Published: (2025)
by: Abohwo, Jason, et al.
Published: (2025)
How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks
by: Stupariu, Teodor-Mihai, et al.
Published: (2026)
by: Stupariu, Teodor-Mihai, et al.
Published: (2026)
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
by: Kofinas, Miltiadis, et al.
Published: (2024)
by: Kofinas, Miltiadis, et al.
Published: (2024)
Can We Predict Your Next Move Without Breaking Your Privacy?
by: Soni, Arpita, et al.
Published: (2025)
by: Soni, Arpita, et al.
Published: (2025)
Equivariant Action Sampling for Reinforcement Learning and Planning
by: Zhao, Linfeng, et al.
Published: (2024)
by: Zhao, Linfeng, et al.
Published: (2024)
Geometry Preserving Loss Functions Promote Improved Adaptation of Blackbox Generative Model
by: Mitra, Sinjini, et al.
Published: (2026)
by: Mitra, Sinjini, et al.
Published: (2026)
Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning
by: Zhang, Yuelin, et al.
Published: (2025)
by: Zhang, Yuelin, et al.
Published: (2025)
Similar Items
-
Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries
by: Karjol, Pavan, et al.
Published: (2025) -
Spectral Discovery of Continuous Symmetries via Generalized Fourier Transforms
by: Karjol, Pavan, et al.
Published: (2026) -
Bayesian Pseudo-Coresets via Contrastive Divergence
by: Tiwary, Piyush, et al.
Published: (2023) -
Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise
by: Shubham, Kumar, et al.
Published: (2026) -
PSK@EEUCA 2026: Fine-Tuning Large Language Models with Synthetic Data Augmentation for Multi-Class Toxicity Detection in Gaming Chat
by: Pulipaka, Srikar Kashyap
Published: (2026)