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Marian Verhelst

Identifiers

  • name variant Marian Verhelst 0.60 · backfill

Papers (39)

  1. AIA: A Customized Multi-core RISC-V SoC for Discrete Sampling Workloads in 16 nm cs.AR · 2026 · author #4
  2. Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads cs.AI · 2026 · author #7
  3. Hardware Generation and Exploration of Lookup Table-Based Accelerators for 1.58-bit LLM Inference cs.AR · 2026 · author #4
  4. The Hyperscale Lottery: How State-Space Models Have Sacrificed Edge Efficiency cs.AR · 2026 · author #3
  5. P3-LLM: An Integrated NPU-PIM Accelerator for Edge LLM Inference Using Hybrid Numerical Formats cs.AR · 2025 · author #6
  6. Hardware-Centric Analysis of DeepSeek's Multi-Head Latent Attention cs.AR · 2025 · author #2
  7. Fine-Grained Fusion: The Missing Piece in Area-Efficient State Space Model Acceleration cs.AR · 2025 · author #3
  8. COAC: Cross-layer Optimization of Accelerator Configurability for Efficient CNN Processing eess.SY · 2024 · author #3
  9. CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories cs.AR · 2024 · author #7
  10. Optimising GPGPU Execution Through Runtime Micro-Architecture Parameter Analysis cs.AR · 2024 · author #5
  11. Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms cs.AR · 2024 · author #4
  12. HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms cs.PL · 2024 · author #8
  13. ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators eess.SP · 2024 · author #4
  14. Analog or Digital In-memory Computing? Benchmarking through Quantitative Modeling eess.SP · 2024 · author #3
  15. PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge cs.AR · 2023 · author #9
  16. Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference cs.LG · 2023 · author #7
  17. Benchmarking and modeling of analog and digital SRAM in-memory computing architectures cs.AR · 2023 · author #3
  18. SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators cs.AR · 2023 · author #4
  19. Real-Time Acoustic Perception for Automotive Applications eess.AS · 2023 · author #3
  20. TinyVers: A Tiny Versatile System-on-chip with State-Retentive eMRAM for ML Inference at the Extreme Edge cs.AR · 2023 · author #6
  21. DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling cs.AR · 2022 · author #4
  22. DPU-v2: Energy-efficient execution of irregular directed acyclic graphs cs.AR · 2022 · author #3
  23. Hardware-aware mobile building block evaluation for computer vision cs.CV · 2022 · author #3
  24. Delta Keyword Transformer: Bringing Transformers to the Edge through Dynamically Pruned Multi-Head Self-Attention cs.CL · 2022 · author #2
  25. DPU: DAG Processing Unit for Irregular Graphs with Precision-Scalable Posit Arithmetic in 28nm cs.AR · 2021 · author #5
  26. Taxonomy and Benchmarking of Precision-Scalable MAC Arrays Under Enhanced DNN Dataflow Representation cs.DC · 2021 · author #3
  27. GRAPHOPT: constrained-optimization-based parallelization of irregular graphs cs.DC · 2021 · author #3
  28. Acceleration of probabilistic reasoning through custom processor architecture cs.AR · 2021 · author #4
  29. ProbLP: A framework for low-precision probabilistic inference cs.AR · 2021 · author #4
  30. Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules cs.CV · 2020 · author #2
  31. ZigZag: A Memory-Centric Rapid DNN Accelerator Design Space Exploration Framework cs.DC · 2020 · author #5
  32. Benchmarking TinyML Systems: Challenges and Direction cs.PF · 2020 · author #16
  33. A multi-layered energy consumption model for smart wireless acoustic sensor networks eess.AS · 2018 · author #8
  34. BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS cs.DC · 2018 · author #5
  35. Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion cs.CV · 2018 · author #3
  36. Minimum Energy Quantized Neural Networks cs.NE · 2017 · author #4
  37. A 0.3-2.6 TOPS/W Precision-Scalable Processor for Real-Time Large-Scale ConvNets cs.AR · 2016 · author #2
  38. Energy-Efficient ConvNets Through Approximate Computing cs.CV · 2016 · author #4
  39. Understanding interdependency through complex information sharing cs.IT · 2015 · author #5

Mentions

  • 2407.11999 #5 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2406.14574 #7 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2406.13752 #3 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2406.09804 #4 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2304.12931 #4 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2212.05344 #4 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2406.07453 #8 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2406.07161 #4 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2405.14978 #3 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2308.00154 #9 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2306.05060 #7 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2305.18335 #3 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2301.12808 #3 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2301.03537 #6 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2210.13184 #3 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2208.12694 #3 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2204.03479 #2 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2105.01976 #3 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2108.04773 #3 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2112.05660 #5 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2103.00266 #4 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2103.00216 #4 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2003.04821 #16 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2009.09675 #2 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2007.11360 #5 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 1812.06672 #8 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 1804.05554 #5 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 1803.04840 #3 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 1711.00215 #4 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 1603.06777 #4 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 1606.05094 #2 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 1509.04555 #5 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2606.16143 #4 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 2606.06448 #7 · arxiv_oai · confidence 0.70 Marian Verhelst
  • 1509.04555 #5 · backfill · confidence 0.70 Marian Verhelst

Frequent Coauthors