Raghavendra Selvan

78 papers A* 3Misc 2Journal 56Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Algorithmic Simplification of Neural Networks with Mosaic-of-Motifs. CoRR Pedram Bakhtiarifard, Tong Chen, Jonathan Wenshøj, Erik B. Dam, Raghavendra Selvan
2026	J	`jnl`	FairQuant: Fairness-Aware Mixed-Precision Quantization for Medical Image Classification. CoRR Thomas Woergaard, Raghavendra Selvan
2026	—	`conf`	HCI-TERRA: HCI Towards EnviRonmentally Responsible AI. CHI Extended Abstracts Georgia Panagiotidou, Christina Bremer, Silvia Cazacu, Sinem Görücü, Nanna Inie, Luiz A. Morais, Raghavendra Selvan, Ben Snaith, Ana Valdivia
2026	J	`jnl`	How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI. CoRR Sophia N. Wilson, Sebastian Mair, Mophat Okinyi, Erik B. Dam, Janin Koch, Raghavendra Selvan
2026	J	`jnl`	Stop Preaching and Start Practising Data Frugality for Responsible Development of AI. CoRR Sophia N. Wilson, Guðrún Fjóla Guðmundsdóttir, Andrew Millard, Raghavendra Selvan, Sebastian Mair
2026	J	`jnl`	deCIFer: Crystal Structure Prediction from Powder Diffraction Data using Autoregressive Language Models. Trans. Mach. Learn. Res. Frederik L. Johansen, Ulrik Friis-Jensen, Erik B. Dam, Kirsten M. Ø. Jensen, Rocío Mercado, Raghavendra Selvan
2025	J	`jnl`	A Discrepancy-Based Perspective on Dataset Condensation. CoRR Tong Chen, Raghavendra Selvan
2025	J	`jnl`	Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race). CoRR Pedram Bakhtiarifard, Pinar Tözün, Christian Igel, Raghavendra Selvan
2025	J	`jnl`	CoDeQ: End-to-End Joint Model Compression with Dead-Zone Quantizer for High-Sparsity and Low-Precision Networks. CoRR Jonathan Wenshøj, Tong Chen, Bob Pepin, Raghavendra Selvan
2025	J	`jnl`	Efficiency Is Not Enough: A Critical Perspective on Environmentally Sustainable AI. Commun. ACM Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
2025	J	`jnl`	Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices. CoRR Luis Cruz, João Paulo Fernandes, Maja H. Kirkeby, Silverio Martínez-Fernández, June Sallou, Hina Anwar, Enrique Barba Roque, Justus Bogner, Joel Castaño, Fernando Castor, Aadil Chasmawala, Simão Cunha, Daniel Feitosa, Alexandra González, Andreas Jedlitschka, Patricia Lago, Henry Muccini, Ana Oprescu, Pooja Rani, João Saraiva, Federica Sarro, Raghavendra Selvan, Karthik Vaidhyanathan, Roberto Verdecchia, Ivan P. Yamshchikov
2025	A*	`conf`	How CO2STLY Is CHI? The Carbon Footprint of Generative AI in HCI Research and What We Should Do About It. CHI Nanna Inie, Jeanette Falk, Raghavendra Selvan
2025	—	`conf`	Is Adversarial Training with Compressed Datasets Effective? SCIA (1) Tong Chen, Raghavendra Selvan
2025	J	`jnl`	Oscillations Make Neural Networks Robust to Quantization. CoRR Jonathan Wenshøj, Bob Pepin, Raghavendra Selvan
2025	J	`jnl`	Oscillations Make Neural Networks Robust to Quantization. Trans. Mach. Learn. Res. Jonathan Wenshøj, Bob Pepin, Raghavendra Selvan
2025	—	`conf`	PePR: Performance Per Resource Unit as a Metric to Promote Small-scale Deep Learning. NLDL Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam
2025	J	`jnl`	The HCI GenAI CO2ST Calculator: A Tool for Calculating the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research. CoRR Nanna Inie, Jeanette Falk, Raghavendra Selvan
2025	—	`conf`	The HCI GenAI CO2ST Calculator: Calculating and Offsetting the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research. Aarhus Conference (Adjunct) Nanna Inie, Jeanette Falk, Raghavendra Selvan
2025	J	`jnl`	Trading Carbon for Physics: On the Resource Efficiency of Machine Learning for Spatio-Temporal Forecasting. CoRR Sophia N. Wilson, Jens Hesselbjerg Christensen, Raghavendra Selvan
2025	J	`jnl`	UniPhyNet: A Unified Network For Multimodal Physiological Raw Signal Classification. CoRR Renxiang Qiu, Raghavendra Selvan
2025	—	`conf`	Uniphynet: a Unified Network for Multimodal Physiological Raw Signal Classification. MLSP Renxiang Qiu, Raghavendra Selvan
2025	J	`jnl`	deCIFer: Crystal Structure Prediction from Powder Diffraction Data using Autoregressive Language Models. CoRR Frederik L. Johansen, Ulrik Friis-Jensen, Erik Bjørnager Dam, Kirsten M. Ø. Jensen, Rocío Mercado, Raghavendra Selvan
2024	J	`jnl`	A GPU-Accelerated Open-Source Python Package for Calculating Powder Diffraction, Small-Angle-, and Total Scattering with the Debye Scattering Equation. J. Open Source Softw. Frederik L. Johansen, Andy S. Anker, Ulrik Friis-Jensen, Erik B. Dam, Kirsten M. Ø. Jensen, Raghavendra Selvan
2024	Misc	`conf`	Activation Compression of Graph Neural Networks Using Block-Wise Quantization with Improved Variance Minimization. ICASSP Sebastian Eliassen, Raghavendra Selvan
2024	J	`jnl`	Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency. CoRR Hallgrimur Thorsteinsson, Valdemar J. Henriksen, Tong Chen, Raghavendra Selvan
2024	A*	`conf`	BMRS: Bayesian Model Reduction for Structured Pruning. NeurIPS Dustin Wright, Christian Igel, Raghavendra Selvan
2024	J	`jnl`	BMRS: Bayesian Model Reduction for Structured Pruning. CoRR Dustin Wright, Christian Igel, Raghavendra Selvan
2024	A*	`conf`	CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning. KDD Ulrik Friis-Jensen, Frederik L. Johansen, Andy S. Anker, Erik B. Dam, Kirsten M. Ø. Jensen, Raghavendra Selvan
2024	J	`jnl`	CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning. CoRR Ulrik Friis-Jensen, Frederik L. Johansen, Andy S. Anker, Erik B. Dam, Kirsten M. Ø. Jensen, Raghavendra Selvan
2024	Misc	`conf`	EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search. ICASSP Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan
2024	J	`jnl`	Equity through Access: A Case for Small-scale Deep Learning. CoRR Raghavendra Selvan, Bob Pepin, Christian Igel, Gabrielle Samuel, Erik B. Dam
2024	J	`jnl`	Is Adversarial Training with Compressed Datasets Effective? CoRR Tong Chen, Raghavendra Selvan
2024	J	`jnl`	QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze
2024	J	`jnl`	When Can Memorization Improve Fairness? CoRR Bob Pepin, Christian Igel, Raghavendra Selvan
2023	J	`jnl`	Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization. CoRR Sebastian Eliassen, Raghavendra Selvan
2023	J	`jnl`	Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI. CoRR Dustin Wright, Christian Igel, Gabrielle Samuel, Raghavendra Selvan
2023	—	`conf`	Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation. NLDL Nicklas Boserup, Raghavendra Selvan
2023	J	`jnl`	Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis. CoRR Julian Schön, Raghavendra Selvan, Lotte Nygård, Ivan Richter Vogelius, Jens Petersen
2023	—	`conf`	Operating Critical Machine Learning Models in Resource Constrained Regimes. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Raghavendra Selvan, Julian Schön, Erik B. Dam
2023	J	`jnl`	Operating critical machine learning models in resource constrained regimes. CoRR Raghavendra Selvan, Julian Schön, Erik B. Dam
2022	—	`conf`	Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis. MICCAI (5) Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam
2022	J	`jnl`	Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis. CoRR Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam
2022	J	`jnl`	Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation. CoRR Nicklas Boserup, Raghavendra Selvan
2022	J	`jnl`	Energy Consumption-Aware Tabular Benchmarks for Neural Architecture Search. CoRR Pedram Bakhtiarifard, Christian Igel, Raghavendra Selvan
2022	—	`conf`	Hybrid Ladder Transformers with Efficient Parallel-Cross Attention for Medical Image Segmentation. MIDL Haozhe Luo, Changdong Yu, Raghavendra Selvan
2022	—	`conf`	Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space. WBIR Justinas Antanavicius, Roberto Leiras, Raghavendra Selvan
2022	—	`conf`	Interpreting Latent Spaces of Generative Models for Medical Images Using Unsupervised Methods. DGM4MICCAI@MICCAI Julian Schön, Raghavendra Selvan, Jens Petersen
2022	J	`jnl`	Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods. CoRR Julian Schön, Raghavendra Selvan, Jens Petersen
2021	J	`jnl`	Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks. CoRR Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Harm A. W. M. Tiddens, Marleen de Bruijne
2021	J	`jnl`	Detection of foraging behavior from accelerometer data using U-Net type convolutional networks. Ecol. Informatics Manh Cuong Ngô, Raghavendra Selvan, Outi Tervo, Mads Peter Heide-Jørgensen, Susanne Ditlevsen
2021	J	`jnl`	Dynamic Ecol. Informatics Klas Rydhmer, Raghavendra Selvan
2021	J	`jnl`	Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals. CoRR Klas Rydhmer, Raghavendra Selvan
2021	J	`jnl`	Identifying partial mouse brain microscopy images from Allen reference atlas using a contrastively learned semantic space. CoRR Justinas Antanavicius, Roberto Leiras, Raghavendra Selvan
2021	J	`jnl`	Patch-based medical image segmentation using Quantum Tensor Networks. CoRR Raghavendra Selvan, Erik B. Dam, Søren Alexander Flensborg, Jens Petersen
2021	—	`conf`	Segmenting Two-Dimensional Structures with Strided Tensor Networks. IPMI Raghavendra Selvan, Erik B. Dam, Jens Petersen
2021	J	`jnl`	Segmenting two-dimensional structures with strided tensor networks. CoRR Raghavendra Selvan, Erik B. Dam, Jens Petersen
2020	J	`jnl`	Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models. CoRR Lasse F. Wolff Anthony, Benjamin Kanding, Raghavendra Selvan
2020	J	`jnl`	Graph refinement based airway extraction using mean-field networks and graph neural networks. Medical Image Anal. Raghavendra Selvan, Thomas Kipf, Max Welling, Antonio Garcia-Uceda Juarez, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2020	J	`jnl`	Locally orderless tensor networks for classifying two- and three-dimensional medical images. CoRR Raghavendra Selvan, Silas Nyboe Ørting, Erik B. Dam
2020	J	`jnl`	Lung Segmentation from Chest X-rays using Variational Data Imputation. CoRR Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai
2020	J	`jnl`	Multi-layered tensor networks for image classification. CoRR Raghavendra Selvan, Silas Nyboe Ørting, Erik B. Dam
2020	—	`conf`	Tensor Networks for Medical Image Classification. MIDL Raghavendra Selvan, Erik B. Dam
2020	J	`jnl`	Tensor Networks for Medical Image Classification. CoRR Raghavendra Selvan, Erik B. Dam
2020	—	`conf`	Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows. MLMI@MICCAI Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai
2020	J	`jnl`	Uncertainty quantification in medical image segmentation with Normalizing Flows. CoRR Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai
2019	—	`conf`	A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs. MLMI@MICCAI Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne
2019	J	`jnl`	A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs. CoRR Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne
2019	J	`jnl`	Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies. IEEE Trans. Medical Imaging Jens Petersen, Andrés M. Arias Lorza, Raghavendra Selvan, Daniel Bos, Aad van der Lugt, Jesper Johannes Holst Pedersen, Mads Nielsen, Marleen de Bruijne
2019	J	`jnl`	Segmentation of Roots in Soil with U-Net. CoRR Abraham George Smith, Jens Petersen, Raghavendra Selvan, Camilla Ruø Rasmussen
2018	J	`jnl`	Extracting Tree-structures in CT data by Tracking Multiple Statistically Ranked Hypotheses. CoRR Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
2018	J	`jnl`	Extraction of Airways using Graph Neural Networks. CoRR Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2018	J	`jnl`	Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks. CoRR Raghavendra Selvan, Thomas N. Kipf, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2018	—	`conf`	Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction. MICCAI (2) Raghavendra Selvan, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2018	J	`jnl`	Mean Field Network based Graph Refinement with application to Airway Tree Extraction. CoRR Raghavendra Selvan, Max Welling, Jesper Holst Pedersen, Jens Petersen, Marleen de Bruijne
2017	—	`conf`	Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing. GRAIL/MFCA/MICGen@MICCAI Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
2017	J	`jnl`	Extraction of Airways with Probabilistic State-space Models and Bayesian Smoothing. CoRR Raghavendra Selvan, Jens Petersen, Jesper Holst Pedersen, Marleen de Bruijne
2016	J	`jnl`	A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization. IEEE Trans. Signal Process. Abu Sajana Rahmathullah, Raghavendra Selvan, Lennart Svensson
2016	J	`jnl`	Extraction of airway trees using multiple hypothesis tracking and template matching. CoRR Raghavendra Selvan, Jens Petersen, Jesper Johannes Holst Pedersen, Marleen de Bruijne