Arun Venkitaraman

50 papers Misc 7Journal 34Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification. MLCAD Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Stefan Uhlich, Markus Leibl, Simon Hofmann, Eisaku Ohbuchi, Lorenzo Servadei, Ulf Schlichtmann, Robert Wille
2025	J	`jnl`	GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification. CoRR Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Stefan Uhlich, Markus Leibl, Simon Hofmann, Eisaku Ohbuchi, Lorenzo Servadei, Ulf Schlichtmann, Robert Wille
2025	J	`jnl`	Locality-aware Surrogates for Gradient-based Black-box Optimization. CoRR Ali Momeni, Stefan Uhlich, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Ryoga Matsuo, Eisaku Ohbuchi, Lorenzo Servadei
2025	—	`conf`	Schemato - An LLM for Netlist-to-Schematic Conversion. MLCAD Ryoga Matsuo, Stefan Uhlich, Arun Venkitaraman, Andrea Bonetti, Chia-Yu Hsieh, Ali Momeni, Lukas Mauch, Augusto Capone, Eisaku Ohbuchi, Lorenzo Servadei
2025	J	`jnl`	SpiceMixer - Netlist-Level Circuit Evolution. CoRR Stefan Uhlich, Andrea Bonetti, Arun Venkitaraman, Chia-Yu Hsieh, Mustafa Emre Gürsoy, Ryoga Matsuo, Lorenzo Servadei
2024	J	`jnl`	GraCo - A Graph Composer for Integrated Circuits. CoRR Stefan Uhlich, Andrea Bonetti, Arun Venkitaraman, Ali Momeni, Ryoga Matsuo, Chia-Yu Hsieh, Eisaku Ohbuchi, Lorenzo Servadei
2024	J	`jnl`	Schemato - An LLM for Netlist-to-Schematic Conversion. CoRR Ryoga Matsuo, Stefan Uhlich, Arun Venkitaraman, Andrea Bonetti, Chia-Yu Hsieh, Ali Momeni, Lukas Mauch, Augusto Capone, Eisaku Ohbuchi, Lorenzo Servadei
2023	Misc	`conf`	A Meta-Gnn Approach to Personalized Seizure Detection and Classification. ICASSP Abdellah Rahmani, Arun Venkitaraman, Pascal Frossard
2023	—	`conf`	Knowledge Distillation with Graph Neural Networks for Epileptic Seizure Detection. ECML/PKDD (6) Qinyue Zheng, Arun Venkitaraman, Simona Petravic, Pascal Frossard
2023	J	`jnl`	Knowledge-Distilled Graph Neural Networks for Personalized Epileptic Seizure Detection. CoRR Qinyue Zheng, Arun Venkitaraman, Simona Petravic, Pascal Frossard
2022	J	`jnl`	A Meta-GNN approach to personalized seizure detection and classification. CoRR Abdellah Rahmani, Arun Venkitaraman, Pascal Frossard
2022	Misc	`conf`	Annihilation Filter Approach for Estimating Graph Dynamics from Diffusion Processes. ICASSP Arun Venkitaraman, Pascal Frossard
2022	J	`jnl`	Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective. IEEE Signal Process. Mag. Rami Mochaourab, Arun Venkitaraman, Isak Samsten, Panagiotis Papapetrou, Cristian R. Rojas
2021	J	`jnl`	Learning Models of Model Predictive Controllers using Gradient Data. CoRR Rebecka Winqvist, Arun Venkitaraman, Bo Wahlberg
2020	Misc	`conf`	Gaussian Processes Over Graphs. ICASSP Arun Venkitaraman, Saikat Chatterjee, Peter Handel
2020	Misc	`conf`	High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix Instance. ICASSP Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	High-dimensional Neural Feature using Rectified Linear Unit and Random Matrix Instance. CoRR Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	High-dimensional neural feature design for layer-wise reduction of training cost. EURASIP J. Adv. Signal Process. Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee
2020	J	`jnl`	On Training and Evaluation of Neural Network Approaches for Model Predictive Control. CoRR Rebecka Winqvist, Arun Venkitaraman, Bo Wahlberg
2020	J	`jnl`	Predictive Analysis of COVID-19 Time-series Data from Johns Hopkins University. CoRR Alireza M. Javid, Xinyue Liang, Arun Venkitaraman, Saikat Chatterjee
2020	Misc	`conf`	Recursive Prediction of Graph Signals With Incoming Nodes. ICASSP Arun Venkitaraman, Saikat Chatterjee, Bo Wahlberg
2020	J	`jnl`	Task-similarity Aware Meta-learning through Nonparametric Kernel Regression. CoRR Arun Venkitaraman, Bo Wahlberg
2019	Misc	`conf`	Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise. ICASSP Arun Venkitaraman, Pascal Frossard, Saikat Chatterjee
2019	J	`jnl`	Learning Sparse Graphs for Prediction of Multivariate Data Processes. IEEE Signal Process. Lett. Arun Venkitaraman, Dave Zachariah
2019	J	`jnl`	Learning sparse linear dynamic networks in a hyper-parameter free setting. CoRR Arun Venkitaraman, Håkan Hjalmarsson, Bo Wahlberg
2019	J	`jnl`	On Hilbert transform, analytic signal, and modulation analysis for signals over graphs. Signal Process. Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2019	J	`jnl`	Predicting Graph Signals Using Kernel Regression Where the Input Signal is Agnostic to a Graph. IEEE Trans. Signal Inf. Process. over Networks Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2019	J	`jnl`	Recursive Prediction of Graph Signals with Incoming Nodes. CoRR Arun Venkitaraman, Saikat Chatterjee, Bo Wahlberg
2018	—	`conf`	Extreme Learning Machine for Graph Signal Processing. EUSIPCO Arun Venkitaraman, Saikat Chatterjee, Peter Handel
2018	J	`jnl`	Extreme Learning Machine for Graph Signal Processing. CoRR Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2018	J	`jnl`	Gaussian Processes Over Graphs. CoRR Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2018	—	`—`	Graph Signal Processing Meets Machine Learning. Arun Venkitaraman
2018	J	`jnl`	Greedy Sparse Learning Over Network. IEEE Trans. Signal Inf. Process. over Networks Ahmed Zaki, Arun Venkitaraman, Saikat Chatterjee, Lars Kildehoj Rasmussen
2018	J	`jnl`	Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise. CoRR Arun Venkitaraman, Pascal Frossard, Saikat Chatterjee
2018	Misc	`conf`	Multi-Kernel Regression for Graph Signal Processing. ICASSP Arun Venkitaraman, Saikat Chatterjee, Peter Handel
2018	J	`jnl`	Multi-kernel Regression For Graph Signal Processing. CoRR Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2018	J	`jnl`	R3Net: Random Weights, Rectifier Linear Units and Robustness for Artificial Neural Network. CoRR Arun Venkitaraman, Alireza M. Javid, Saikat Chatterjee
2018	J	`jnl`	Supervised Linear Regression for Graph Learning from Graph Signals. CoRR Arun Venkitaraman, Hermina Petric Maretic, Saikat Chatterjee, Pascal Frossard
2017	—	`conf`	A connectedness constraint for learning sparse graphs. EUSIPCO Martin Sundin, Arun Venkitaraman, Magnus Jansson, Saikat Chatterjee
2017	—	`conf`	Distributed greedy sparse learning over doubly stochastic networks. EUSIPCO Ahmed Zaki, Arun Venkitaraman, Saikat Chatterjee, Lars K. Rasmussen
2017	J	`jnl`	Kernel Regression for Signals over Graphs. CoRR Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2016	J	`jnl`	Hilbert Transform, Analytic Signal, and Modulation Analysis for Graph Signal Processing. CoRR Arun Venkitaraman, Saikat Chatterjee, Peter Händel
2015	—	`conf`	Graph linear prediction results in smaller error than standard linear prediction. EUSIPCO Arun Venkitaraman, Saikat Chatterjee, Peter Handel
2015	—	`conf`	Motion-based segmentation of chest and abdomen region of neonates from videos. ICAPR Arun Venkitaraman, Vishnu Vardhan Makkapati
2014	J	`jnl`	Auditory-motivated Gammatone wavelet transform. Signal Process. Arun Venkitaraman, Aniruddha Adiga, Chandra Sekhar Seelamantula
2014	J	`jnl`	Binaural Signal Processing Motivated Generalized Analytic Signal Construction and AM-FM Demodulation. IEEE ACM Trans. Audio Speech Lang. Process. Arun Venkitaraman, Chandra Sekhar Seelamantula
2014	J	`jnl`	Fractional Hilbert transform extensions and associated analytic signal construction. Signal Process. Arun Venkitaraman, Chandra Sekhar Seelamantula
2013	J	`jnl`	On Computing Amplitude, Phase, and Frequency Modulations Using a Vector Interpretation of the Analytic Signal. IEEE Signal Process. Lett. Arun Venkitaraman, Chandra Sekhar Seelamantula
2013	J	`jnl`	Temporal Envelope Fit of Transient Audio Signals. IEEE Signal Process. Lett. Arun Venkitaraman, Chandra Sekhar Seelamantula
2012	J	`jnl`	A Technique to Compute Smooth Amplitude, Phase, and Frequency Modulations From the Analytic Signal. IEEE Signal Process. Lett. Arun Venkitaraman, Chandra Sekhar Seelamantula