:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Barber, Gregory, Henry, Todd C., Haile, Mulugeta A.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2602.02213
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Synthesizing Audio from Silent Video using Sequence to Sequence Modeling
by: Belinchon, Hugo Garrido-Lestache, et al.
Published: (2024)

FloorSet -- a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs
by: Mallappa, Uday, et al.
Published: (2024)

PIS: A Generalized Physical Inversion Solver for Arbitrary Sparse Observations via Set Conditioned Flow Matching
by: Yang, Weijie, et al.
Published: (2025)

Excluding the Target Domain Improves Extrapolation: Deconfounded Hierarchical Physics Constraints
by: Okita, Tsuyoshi
Published: (2026)

VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints
by: Wang, Xinyu, et al.
Published: (2025)

Chain-of-Generation: Progressive Latent Diffusion for Text-Guided Molecular Design
by: Li, Lingxiao, et al.
Published: (2025)

DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness
by: Li, Ruining, et al.
Published: (2025)

Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
by: Ko, Myeongseob, et al.
Published: (2024)

Physics-Informed Causal MDPs for Sequential Constraint Repair in Engineering Simulation Pipelines
by: Qiao, Chuhan
Published: (2026)

Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
by: Zheng, Zinan, et al.
Published: (2024)

PCDCNet: A Surrogate Model for Air Quality Forecasting with Physical-Chemical Dynamics and Constraints
by: Wang, Shuo, et al.
Published: (2025)

Physics-Guided Inductive Spatiotemporal Kriging for PM2.5 with Satellite Gradient Constraints
by: Wang, Shuo, et al.
Published: (2025)

DALI-PD: Diffusion-based Synthetic Layout Heatmap Generation for ML in Physical Design
by: Wu, Bing-Yue, et al.
Published: (2025)

Agentic Risk-Aware Set-Based Engineering Design
by: Kumar, Varun, et al.
Published: (2026)

Partial Inverse Design of High-Performance Concrete Using Cooperative Neural Networks for Constraint-Aware Mix Generation
by: Nugraha, Agung, et al.
Published: (2025)

Text2Robot: Evolutionary Robot Design from Text Descriptions
by: Ringel, Ryan P., et al.
Published: (2024)

Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation
by: Lee, Junwon, et al.
Published: (2024)

Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with Reset
by: Goldberg, Andrew, et al.
Published: (2024)

Generating Counterfactual Explanations Using Cardinality Constraints
by: Ruiz-Torrubiano, Rubén
Published: (2024)

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
by: Jiang, Dapeng, et al.
Published: (2025)

Out-of-Distribution Generalization for Neural Physics Solvers
by: Wei, Zhao, et al.
Published: (2026)

The Conditions of Physical Embodiment Enable Generalization and Care
by: Christov-Moore, Leonardo, et al.
Published: (2025)

Constrained Diffusion for Protein Design with Hard Structural Constraints
by: Christopher, Jacob K., et al.
Published: (2025)

Learning Local Constraints for Reinforcement-Learned Content Generators
by: Bhaumik, Debosmita, et al.
Published: (2026)

Embedding Reliability Verification Constraints into Generation Expansion Planning
by: Liu, Peng, et al.
Published: (2025)

PIED: Physics-Informed Experimental Design for Inverse Problems
by: Hemachandra, Apivich, et al.
Published: (2025)

Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver
by: Marty, Tom, et al.
Published: (2023)

Physics-Guided Geometric Diffusion for Macro Placement Generation
by: Yoon, Jongho, et al.
Published: (2026)

Physics-informed Diffusion Generation for Geomagnetic Map Interpolation
by: Li, Wenda, et al.
Published: (2026)

Exploring Loss Design Techniques For Decision Tree Robustness To Label Noise
by: Sztukiewicz, Lukasz, et al.
Published: (2024)

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling
by: Cao, Yang, et al.
Published: (2025)

Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation
by: Christopher, Jacob K., et al.
Published: (2025)

Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints
by: Utkarsh, Utkarsh, et al.
Published: (2025)

Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints
by: Guo, Lei, et al.
Published: (2024)

Multimodal Chip Physical Design Engineer Assistant
by: Tsai, Yun-Da, et al.
Published: (2025)

Fairness of Classifiers in the Presence of Constraints between Features
by: Cooper, Martin C., et al.
Published: (2026)

Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
by: Yang, Haoyu, et al.
Published: (2024)

Latent Generative Solvers for Generalizable Long-Term Physics Simulation
by: Chen, Zituo, et al.
Published: (2026)

Precipitation Nowcasting Using Physics Informed Discriminator Generative Models
by: Yin, Junzhe, et al.
Published: (2024)

A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
by: Dasgupta, Shib, et al.
Published: (2025)