Chip Design ML papers, 2023–2026
EDA and placement
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 179 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 13 | 4 | 8 | 3 | 28 |
| 2024 | 16 | 6 | 20 | 1 | 43 |
| 2025 | 20 | 9 | 9 | 6 | 44 |
| 2026 | 34 | 9 | 18 | 3 | 64 |
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
20 papers, page 1 of 1
- NeurIPS 2025A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing
- NeurIPS 2025Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
- NeurIPS 2025Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
- NeurIPS 2025Convergent Functions, Divergent Forms
- NeurIPS 2025Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
- NeurIPS 2025Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
- NeurIPS 2025Efficient Bayesian Experiment Design with Equivariant Networks
- NeurIPS 2025Exploring the Design Space of Diffusion Bridge Models
- NeurIPS 2025Geometric Algebra-Enhanced Bayesian Flow Network for RNA Inverse Design
- NeurIPS 2025Hadamax Encoding: Elevating Performance in Model-Free Atari
- NeurIPS 2025Mechanism Design via the Interim Relaxation
- NeurIPS 2025MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction
- NeurIPS 2025Online Experimental Design With Estimation-Regret Trade-off Under Network Interference
- NeurIPS 2025Procurement Auctions with Predictions: Improved Frugality for Facility Location
- NeurIPS 2025Protein Design with Dynamic Protein Vocabulary
- NeurIPS 2025RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
- NeurIPS 2025Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
- NeurIPS 2025Spectral Analysis of Diffusion Models with Application to Schedule Design
- NeurIPS 2025Towards Reliable and Holistic Visual In-Context Learning Prompt Selection
- NeurIPS 2025VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code
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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.