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5 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 31

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IMC-CLINIC: Coupled Loss-Informed Newton Iterations for Clipping in Analog In-Memory Computing
Sep 28, 2026Yung-Chin Chen, Chia-Yu Chen, Naveen VermaIn-Memory Computing Gradient Clipping
Princeton University, NJ, USA · EnCharge AI, CA, USA
Inspector: Conversational and Lightweight Analyzer of Analog Circuit Layouts Using LLM and CNNs
Sep 28, 2026Abril Cano Castro, Giuseppe Chiari, Michele Piccoli +2Analog Design Analog
DEIB Politecnico di Milano Milano, Italy
Long-Horizon Analog Design Bench: Benchmarking Agents on Hours-Long Analog and Mixed-Signal Circuit Design Tasks
Sep 27, 2026Analog Design Bench TeamAnalog Design Analog
AnalogDepth: Multi-view Geometry from FPV drones under Analog Video Transmission
Sep 21, 2026André Amorim, Pedro F. ProençaDepth Estimation Dinov3
NOVA School of Science and Technology, NOVA University Lisbon, Caparica, Portugal.
A Time-Based Readout for Vector-Matrix Multiplication in Fully Analog Memristive SNNs
Sep 12, 2026Elia Mateu-Barriendos, Álvaro Gómez-Pau, Josep Rius +3Reram Crossbar Spiking Neural Networks
Universitat Polit`ecnica de Catalunya - BarcelonaTech (UPC)
RACE-AIMC: Selective Inference for Heterogeneous Analog In-Memory Accelerators at the Edge
Sep 2, 2026Osama Yousuf, Martin Lueker-BodenIn-Memory Computing Neural Network Inference
WD Research San Jose, CA, USA
Analog-DB: An Agent-First Analog Integrated Circuit Database, From Blocks to Systems
Sep 1, 2026Danial Noori Zadeh, Mohamed B. ElamienAnalog Design Analog
The authors are with the Department of Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada
Provably Efficient Self-Calibrating Quantum Fault Tolerance
Aug 6, 2026Weiyuan Gong, Hong-Ye HuQuantum Error Correction Post-Quantum Cryptography
School of Engineering and Applied Sciences, Harvard University, Allston, MA 02134, USA · Department of Physics, Harvard University, Cambridge, MA 02138, USA
NANQ: Noise-Floor-Aware Mixed-Precision Non-Uniform Quantization for Analog Compute-in-Memory
Aug 3, 2026Yizhe Chen, Wenshuai Yao, Saiya Wang +6In-Memory Computing Mixed-Precision Quantization
School of Integrated Circuit Science and Engineering, Beihang University, Beijing, China · School of Integrated Circuits, Peking University, Beijing, China · Department of Electrical and Computer Engineering, The University of Hong Kong, Hong Kong SAR, China
Extremal Chowla sets and their linear analogues: A human-AI mathematical investigation using Co-Scientist
Jul 25, 2026Mohsen Aliabadi, Keith Driscoll, Elliot Krop +3Finite Groups Extremes
Clayton State University · Google Cloud AI Research · Google DeepMind
Towards Reliable AI-Assisted Analog Design: Template-Constrained LLM Agents for SAR ADC Generation
Jul 15, 2026Dimple Vijay Kochar, Hae-Seung Lee, Anantha P. ChandrakasanAnalog Design Analog
Massachusetts Institute of Technology · Cambridge, MA, USA
Single-Entity Spiking Neuron Models: Survey
Jul 8, 2026Leon Parepko, Danila Shulepin, Albert NasybullinNeurons Biological
Innopolis University Innopolis, Russia
Intrinsic-Noise Consolidation: A Doob-Barrier-Conditioned Diffusion Turns Analog Device Noise into a Continual-Learning Resource
Jul 8, 2026Gunner Levi HoweSynaptic Plasticity Analog
Rethinking Neural Nonlinearity as Gating
Jul 3, 2026Muhammad Sabih, Frank Hannig, Jürgen TeichActivation Functions Discontinuous Gating
Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
Co-Optimization of Analog Kolmogorov-Arnold Networks for Low-Power Function Approximation in Flexible Electronics
Jun 26, 2026Paula Carolina Lozano Duarte, Georgios Zervakis, Mehdi Tahoori +1Analog Kolmogorov-Arnold Networks
Dept. of Computer Science, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany · School of Electrical and Computer Engineering, National Technical University of Athens, Greece · Radyalis LLC, USA
Generative Models on Analog Hardware with Dynamics
Jun 25, 2026Yu-Neng Wang, Sara AchourAnalog Generative Models
Stanford University · USA
Design and Development of a Neuromorphic Silicon Suite: PVT Sensing, Stochastic LIF Inference, On-Chip STDP Learning, and Crossbar Programming
Jun 21, 2026Poornima Kumaresan, Santhosh SivasubramaniNeuromorphic Computing Reram Crossbar
Intrinsic Lab, Centre for Sensors, Instrumentation and Cyber-Physical System Engineering (SeNSE), Indian Institute of Technology Delhi, New Delhi 110016, India
Low-power analogue neural networks with trainable nonlinear connections for continuous control
Jun 21, 2026Ian T. Vidamour, Fernando Aguirre, Thomas J. Hayward +13Analog Reram Crossbar
School of Computer Science, University of Sheffield, Sheffield, S1 4DP, United Kingdom · Intrinsic Semiconductor Technologies, London, United Kingdom · School of Chemical, Biological, and Materials Science Engineering, University of Sheffield, Sheffield, S1 3JD, United Kingdom +5
Positional Encoding in the Context of Memristor-Based Analog Computation for Automatic Speech Recognition
Jun 11, 2026Benedikt Hilmes, Nick Rossenbach, Ralf SchlüterIn-Memory Computing Reram Crossbar
Machine Learning and Human Language Technology Group, Faculty of Computer Science, RWTH Aachen University, Aachen, Germany
Modern analog computing for solving differential and matrix equations
Jun 11, 2026Zhong Sun, Piergiulio Mannocci, Manuel Le Gallo +1In-Memory Computing Analog
Institute for Artificial Intelligence, School of Integrated Circuits, Peking University, Beijing Advanced Innovation Center for Integrated Circuits, Beijing 100871, China. · 2Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano, 20133, Italy. · 3IBM Research Europe, Rüschlikon, Switzerland.
Analog Quantum Asynchronous Event-Based Graph Neural Network
Jun 9, 2026Kristian Sotirov, Shaheen Acheche, Antonio A. Gentile +1Quantum Processor Hybrid Quantum-Classical Pipeline
King’s Communications, Learning and Information Processing (KCLIP) lab within the Centre for Intelligent Information Processing Systems (CIIPS) at the Department of Engineering, King’s College London, London, WC2R 2LS, UK · Pasqal SAS, 24 Av. Emile Baudot, 91120 Palaiseau, France · Institute for Intelligent Networked Systems (INSI), Northeastern University London, One Portsoken Street, London E1 8PH, United Kingdom
Beyond Gradient Descent: Adam for Analog Ising Machines
Jun 2, 2026Stijn Van Vooren, Guy Van der Sande, Guy VerschaffeltSpatial Photonic Ising Machines Adam
Applied Physics research group, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium∗
Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations
May 12, 2026Arthur Fyon, Julien Brandoit, Loris Mendolia +3Analog Recurrent Model
University of Liège Liège, Belgium
A Fast and Energy-Efficient Latch-Based Memristive Analog Content-Addressable Memory
May 12, 2026Paul-Philipp Manea, Aishwarya Natarajan, Jim Ignowski +2Reram Crossbar Analog
PGI-14, Forschungszentrum Jülich, Jülich, Germany · RWTH Aachen University, Aachen, Germany · Hewlett Packard Enterprise, Fort Collins, CO, USA
Formally Verifying Analog Neural Networks Under Process Variations Using Polynomial Zonotopes
May 11, 2026Yasmine Abu-Haeyeh, Tobias Ladner, Matthias Althoff +1Neural Network Verification Analog
Goethe University Frankfurt, Germany · Technical University of Munich, Germany
AnalogRetriever: Learning Cross-Modal Representations for Analog Circuit Retrieval
Apr 25, 2026Yihan Wang, Lei Li, Yao Lai +2Analog Design Analog
The University of Hong Kong Hong Kong, China · University of Cambridge Cambridge, United Kingdom · Tsinghua University Beijing, China
Lost in Motion: Vision Language Models Fail the Dynamic Gauges Test
Apr 19, 2026Tairan Fu, Francisco Javier Santos-Martín, Javier Conde +2Vibration Zero-Shot Robustness
Fully Analog Resonant Recurrent Neural Network via Metacircuit
Apr 19, 2026Zixin Zhou, Tianxi Jiang, Menglong Yang +3Neuromorphic Computing Analog
Institute of Humanoid Robots, CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, People’s Republic of China · State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
Dynamic Symmetric Point Tracking: Tackling Non-ideal Reference in Analog In-memory Training
Feb 24, 2026Quan Xiao, Jindan Li, Zhaoxian Wu +2In-Memory Computing Reram Crossbar
Department of Electrical and Computer Engineering, Cornell University, New York, NY · IBM T. J. Watson Research Center, Yorktown Heights, NY · Rensselaer Polytechnic Institute, Troy, NY
Physical Analogue Kolmogorov-Arnold Networks based on Reconfigurable Nonlinear-Processing Units
Feb 7, 2026Manuel Escudero, Mohamadreza Zolfagharinejad, Sjoerd van den Belt +2Kolmogorov-Arnold Networks Neuromorphic Computing
1NanoElectronics Group, MESA+ Institute and BRAINS Center for Brain-Inspired Computing, University of Twente, P.O. Box 217, Enschede,2026 7500 AE, The Netherlands. · 2CAESUniversity GroupofandTwente,BRAINSEnschede,Center 7500for Brain-InspiredAE, The Netherlands.Computing · Institute of Physics, University of Münster, Münster, 48149 Germany.
Deep Regularized RNNs for Virtual Analog Modeling
Sep 19, 2025V. Valtteri Kallinen, Lauri Juvela, Thom ShersonAnalog Recurrent Neural Networks
Dept. of Information and Communications Engineering (DICE) Aalto University Espoo, Finland · Neural DSP Technologies Oy Helsinki, Finland

Sep 28, 2026, cs.AIJ/K move · Enter open · S save

IMC-CLINIC: Coupled Loss-Informed Newton Iterations for Clipping in Analog In-Memory Computing

Yung-Chin Chen, Chia-Yu Chen, Naveen Verma

Princeton University, NJ, USA · EnCharge AI, CA, USA

In-Memory Computing Gradient Clipping Analog Newton

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Analog in-memory computing (IMC) offers a promising path toward energy-efficient large language model (LLM) inference by executing matrix multiplications (MatMul) directly within memory arrays in the analog domain. Its efficiency, however, comes with an additional source of error: limited-precision analog-to-digital converters (ADCs) quantize accumulated analog partial sums, introducing output-side error distinct from conventional activation and weight quantization at the MatMul inputs. Clipping can mitigate both operand and ADC quantization errors, but the optimal clipping factors must jointly balance activation rounding and clipping, weight rounding and clipping, and ADC quantization. Existing clipping methods, designed for digital quantization, do not explicitly optimize these coupled sources of IMC error and often rely on costly search-based calibration. We introduce IMC-CLINIC (Coupled Loss-Informed Newton Iterations for Clipping), a clipping calibration framework based on an analytical surrogate for IMC MatMul output error. The surrogate jointly models operand quantization, accumulated clipping-induced bias, and ADC quantization, enabling efficient evaluation of its gradient and approximate curvature from a small calibration set. IMC-CLINIC jointly optimizes activation and weight clipping factors using a safeguarded Newton-type method. Across multiple models and datasets, it improves average zero-shot accuracy by 6.5-11.5 percentage points over the grid search baseline while reducing calibration time by factors of 10.0-12.1. Its analytical surrogate closely tracks empirical IMC output error, and its optimizer is certified within 1% of the global optimum under the loss objective across all projections on two representative models.

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