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

44 papers, page 1 of 1

1. CVPR 2025BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices
2. CVPR 2025CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images
3. CVPR 2025CASAGPT: Cuboid Arrangement and Scene Assembly for Interior Design
4. CVPR 2025Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space
5. CVPR 2025From Elements to Design: A Layered Approach for Automatic Graphic Design Composition
6. CVPR 2025Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention
7. ICLR 2025Bayesian Experimental Design Via Contrastive Diffusions
8. ICLR 2025Charting the Design Space of Neural Graph Representations for Subgraph Matching
9. ICLR 2025CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
10. ICLR 2025DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
11. ICLR 2025EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow
12. ICLR 2025FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields
13. ICLR 2025gRNAde: Geometric Deep Learning for 3D RNA inverse design
14. ICLR 2025LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
15. ICLR 2025LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models
16. ICML 2025Chip Placement with Diffusion Models
17. ICML 2025Contract Design Under Approximate Best Responses
18. ICML 2025EGPlace: An Efficient Macro Placement Method via Evolutionary Search with Greedy Repositioning Guided Mutation
19. ICML 2025Fraud-Proof Revenue Division on Subscription Platforms
20. ICML 2025Optimal Auction Design in the Joint Advertising
21. ICML 2025Probabilistic Factorial Experimental Design for Combinatorial Interventions
22. ICML 2025Reliable Algorithm Selection for Machine Learning-Guided Design
23. ICML 2025Safely Learning Optimal Auctions: A Testable Learning Framework for Mechanism Design
24. ICML 2025Simple Randomized Rounding for Max-Min Eigenvalue Augmentation
25. NeurIPS 2025A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing
26. NeurIPS 2025Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
27. NeurIPS 2025Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
28. NeurIPS 2025Convergent Functions, Divergent Forms
29. NeurIPS 2025Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
30. NeurIPS 2025Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
31. NeurIPS 2025Efficient Bayesian Experiment Design with Equivariant Networks
32. NeurIPS 2025Exploring the Design Space of Diffusion Bridge Models
33. NeurIPS 2025Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design
34. NeurIPS 2025Hadamax Encoding: Elevating Performance in Model-Free Atari
35. NeurIPS 2025Mechanism Design via the Interim Relaxation
36. NeurIPS 2025MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction
37. NeurIPS 2025Online Experimental Design With Estimation-Regret Trade-off Under Network Interference
38. NeurIPS 2025Procurement Auctions with Predictions: Improved Frugality for Facility Location
39. NeurIPS 2025Protein Design with Dynamic Protein Vocabulary
40. NeurIPS 2025RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
41. NeurIPS 2025Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
42. NeurIPS 2025Spectral Analysis of Diffusion Models with Application to Schedule Design
43. NeurIPS 2025Towards Reliable and Holistic Visual In-Context Learning Prompt Selection
44. NeurIPS 2025VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code

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.