Chip Design ML papers, 2023–2026

Key findings

• Chip Design ML went from 28 papers in 2023 to 64 in 2026, roughly 2.3x in three years.
• NeurIPS publishes the most Chip Design ML work: 83 papers from 2023 to 2026, 46% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 0 in 2023 to 9 in 2026.
• Among the 5 topics under Hardware and Compilers, it ranks #2 by 2026 paper count; the fastest grower in the group, Edge Inference, is up 4.0x versus 2.3x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026ChiP-STAR: Spatial-Topological Attention for Pre-trained Generative Chip Routing
• ICML 2026Order Matters: Unveiling the Hidden Impact of Macro Placement Sequences via Proxy-Guided LLM Evolution
• ICLR 2026How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data
• CVPR 2026PSDesigner Automated Graphic Design with a Human-Like Creative Workflow
• NeurIPS 2025MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction
• ICML 2025Probabilistic Factorial Experimental Design for Combinatorial Interventions
• ICLR 2025LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
• CVPR 2025From Elements to Design: A Layered Approach for Automatic Graphic Design Composition
• NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
• ICML 2024A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
• ICLR 2024CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment
• CVPR 2024Discontinuity-preserving Normal Integration with Auxiliary Edges
• NeurIPS 2023Circuit as Set of Points
• ICML 2023AbODE: Ab initio antibody design using conjoined ODEs
• ICLR 2023Neural Design for Genetic Perturbation Experiments
• CVPR 2023Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark
• NeurIPS 2026DiffCool: Label-Free Synthesis of Chip-Tailored Heat Sinks via Thermal-Aware Diffusion
• ICML 2026Axiomatic Atlas: A Prescriptive Framework for Neural Architecture Design
• ICLR 2026Topology Matters in RTL Circuit Representation Learning
• CVPR 2026FEAT Fashion Editing and Try-On from Any Design

All Chip Design ML papers

28 papers, page 1 of 1

1. ICLR 2026A Joint Diffusion Model with Pre-Trained Priors for RNA Sequence–Structure Co-Design
2. ICLR 2026Expertise Can Be Helpful for Reinforcement Learning-based Macro Placement
3. ICLR 2026Exploring the Design Space of Transition Matching
4. ICLR 2026How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data
5. ICLR 2026Learning AND–OR Templates for Compositional Representation in Art and Design
6. ICLR 2026On the Design of One-step Diffusion via Shortcutting Flow Paths
7. ICLR 2026SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing
8. ICLR 2026Si-GT: Fast Interconnect Signal Integrity Analysis for Integrated Circuit Design via Graph Transformers
9. ICLR 2026Topology Matters in RTL Circuit Representation Learning
10. ICLR 2025Bayesian Experimental Design Via Contrastive Diffusions
11. ICLR 2025Charting the Design Space of Neural Graph Representations for Subgraph Matching
12. ICLR 2025CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
13. ICLR 2025DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
14. ICLR 2025EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow
15. ICLR 2025FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields
16. ICLR 2025gRNAde: Geometric Deep Learning for 3D RNA inverse design
17. ICLR 2025LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
18. ICLR 2025LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models
19. ICLR 2024Adaptive Instrument Design for Indirect Experiments
20. ICLR 2024CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment
21. ICLR 2024Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference
22. ICLR 2024Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
23. ICLR 2024Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
24. ICLR 2024Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
25. ICLR 2023Conditional Antibody Design as 3D Equivariant Graph Translation
26. ICLR 2023DySR: Adaptive Super-Resolution via Algorithm and System Co-design
27. ICLR 2023Neural Design for Genetic Perturbation Experiments
28. ICLR 2023SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments

FAQ

How many Chip Design ML papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

179 in total: 28 in 2023, 43 in 2024, 44 in 2025, 64 in 2026.

How many Chip Design ML papers are at NeurIPS 2026?

NeurIPS 2026 has 34 Chip Design ML papers, versus 20 the year before.

How many Chip Design ML papers are at ICLR 2026?

ICLR 2026 has 9 Chip Design ML papers, versus 9 the year before.

How many Chip Design ML papers are at ICML 2026?

ICML 2026 has 18 Chip Design ML papers, versus 9 the year before.

How many Chip Design ML papers are at CVPR 2026?

CVPR 2026 has 3 Chip Design ML papers, versus 6 the year before.

Which conference publishes the most Chip Design ML papers?

NeurIPS, with 83 papers from 2023 to 2026.