Avinash Kori - RankMe

52 papers A* 5A 1C 1Misc 1Journal 34Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Selective Fine-Tuning for Targeted and Robust Concept Unlearning. CoRR Mansi, Avinash Kori, Francesca Toni, Soteris Demetriou
2025	—	`conf`	Causal Representation Learning with Observational Grouping for CXR Classification. FAIMI@MICCAI Rajat Rasal, Avinash Kori, Ben Glocker
2025	J	`jnl`	Causal Representation Learning with Observational Grouping for CXR Classification. CoRR Rajat Rasal, Avinash Kori, Ben Glocker
2025	A*	`conf`	Continuous Bayesian Model Selection for Multivariate Causal Discovery. ICML Anish Dhir, Ruby Sedgwick, Avinash Kori, Ben Glocker, Mark van der Wilk
2025	J	`jnl`	Decoupled Classifier-Free Guidance for Counterfactual Diffusion Models. CoRR Tian Xia, Fabio De Sousa Ribeiro, Rajat Rasal, Avinash Kori, Raghav Mehta, Ben Glocker
2025	A*	`conf`	Diffusion Counterfactual Generation with Semantic Abduction. ICML Rajat Rasal, Avinash Kori, Fabio De Sousa Ribeiro, Tian Xia, Ben Glocker
2025	J	`jnl`	Diffusion Counterfactual Generation with Semantic Abduction. CoRR Rajat Rasal, Avinash Kori, Fabio De Sousa Ribeiro, Tian Xia, Ben Glocker
2025	Misc	`conf`	Explainable Reinforcement Learning for Formula One Race Strategy. SAC Devin Thomas, Junqi Jiang, Avinash Kori, Aaron Russo, Steffen Winkler, Stuart Sale, Joseph McMillan, Francesco Belardinelli, Antonio Rago
2025	J	`jnl`	Explainable Reinforcement Learning for Formula One Race Strategy. CoRR Devin Thomas, Junqi Jiang, Avinash Kori, Aaron Russo, Steffen Winkler, Stuart Sale, Joseph McMillan, Francesco Belardinelli, Antonio Rago
2025	J	`jnl`	Flow Stochastic Segmentation Networks. CoRR Fabio De Sousa Ribeiro, Omar Todd, Charles Jones, Avinash Kori, Raghav Mehta, Ben Glocker
2025	A	`conf`	Free Argumentative Exchanges for Explaining Image Classifiers. AAMAS Avinash Kori, Antonio Rago, Francesca Toni
2025	J	`jnl`	Free Argumentative Exchanges for Explaining Image Classifiers. CoRR Avinash Kori, Antonio Rago, Francesca Toni
2025	A*	`conf`	Identifiable Object Representations under Spatial Ambiguities. ICML Avinash Kori, Francesca Toni, Ben Glocker
2025	J	`jnl`	Identifiable Object Representations under Spatial Ambiguities. CoRR Avinash Kori, Francesca Toni, Ben Glocker
2025	—	`conf`	Object-Centric Case-Based Reasoning via Argumentation. ArgXAI@ECAI Gabriel de Olim Gaul, Adam Gould, Avinash Kori, Francesca Toni
2025	J	`jnl`	Object-Centric Case-Based Reasoning via Argumentation. CoRR Gabriel de Olim Gaul, Adam Gould, Avinash Kori, Francesca Toni
2025	C	`conf`	Object-Centric Neuro-Argumentative Learning. NeSy Abdul Rahman Jacob, Avinash Kori, Emanuele De Angelis, Ben Glocker, Maurizio Proietti, Francesca Toni
2025	J	`jnl`	Object-Centric Neuro-Argumentative Learning. CoRR Abdul Rahman Jacob, Avinash Kori, Emanuele De Angelis, Ben Glocker, Maurizio Proietti, Francesca Toni
2025	—	`conf`	Transparent Visual Reasoning via Object-Centric Agent Collaboration. ANSyA@ECAI Benjamin Teoh, Ben Glocker, Francesca Toni, Avinash Kori
2025	J	`jnl`	Transparent Visual Reasoning via Object-Centric Agent Collaboration. CoRR Benjamin Teoh, Ben Glocker, Francesca Toni, Avinash Kori
2024	J	`jnl`	Continuous Bayesian Model Selection for Multivariate Causal Discovery. CoRR Anish Dhir, Ruby Sedgwick, Avinash Kori, Ben Glocker, Mark van der Wilk
2024	—	`conf`	Explaining Image Classifiers with Visual Debates. DS (2) Avinash Kori, Ben Glocker, Francesca Toni
2024	A*	`conf`	Grounded Object-Centric Learning. ICLR Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, Ben Glocker
2024	A*	`conf`	Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention. NeurIPS Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro
2024	J	`jnl`	Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention. CoRR Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro
2023	J	`jnl`	A Causal Ordering Prior for Unsupervised Representation Learning. CoRR Avinash Kori, Pedro Sanchez, Konstantinos Vilouras, Ben Glocker, Sotirios A. Tsaftaris
2023	—	`conf`	Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification. CVPR Workshops Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Francesca Toni, Ben Glocker
2023	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
2023	J	`jnl`	Unsupervised Conditional Slot Attention for Object Centric Learning. CoRR Avinash Kori, Francesco Locatello, Francesca Toni, Ben Glocker
2022	J	`jnl`	GLANCE: Global to Local Architecture-Neutral Concept-based Explanations. CoRR Avinash Kori, Ben Glocker, Francesca Toni
2022	J	`jnl`	Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models. CoRR Ainkaran Santhirasekaram, Avinash Kori, Andrea G. Rockall, Mathias Winkler, Francesca Toni, Ben Glocker
2022	—	`conf`	Vector Quantisation for Robust Segmentation. MICCAI (4) Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker
2022	J	`jnl`	Vector Quantisation for Robust Segmentation. CoRR Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker
2022	J	`jnl`	Visual Debates. CoRR Avinash Kori, Ben Glocker, Francesca Toni
2021	J	`jnl`	Brain Tumor Segmentation and Survival Prediction using Automatic Hard mining in 3D CNN Architecture. CoRR Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi
2021	J	`jnl`	Corrigendum: Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. Frontiers Comput. Neurosci. Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi
2020	J	`jnl`	2018 Robotic Scene Segmentation Challenge. CoRR Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Evangello Flouty, Ahmed Kedir Mohammed, Marius Pedersen, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel
2020	J	`jnl`	A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis. CoRR Mahendra Khened, Avinash Kori, Haran Rajkumar, Balaji Srinivasan, Ganapathy Krishnamurthi
2020	J	`jnl`	Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability. CoRR Avinash Kori, Parth Natekar, Ganapathy Krishnamurthi, Balaji Srinivasan
2020	—	`conf`	Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture. BrainLes@MICCAI (2) Vikas Kumar Anand, Sanjeev Grampurohit, Pranav Aurangabadkar, Avinash Kori, Mahendra Khened, Raghavendra S. Bhat, Ganapathy Krishnamurthi
2020	J	`jnl`	Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis. Frontiers Comput. Neurosci. Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi
2020	J	`jnl`	Structurally aware bidirectional unpaired image to image translation between CT and MR. CoRR Vismay Agrawal, Avinash Kori, Vikas Kumar Anand, Ganapathy Krishnamurthi
2019	J	`jnl`	Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis. CoRR Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi
2019	J	`jnl`	Dynamic Regularizer with an Informative Prior. CoRR Avinash Kori, Manik Sharma
2019	J	`jnl`	Zero Shot Learning for Multi-Modal Real Time Image Registration. CoRR Avinash Kori, Ganapathi Krishnamurthi
2018	J	`jnl`	2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation. CoRR Krishna Chaitanya Kaluva, Mahendra Khened, Avinash Kori, Ganapathy Krishnamurthi
2018	—	`conf`	A Combined Radio-Histological Approach for Classification of Low Grade Gliomas. BrainLes@MICCAI (1) Aditya Bagari, Ashish Kumar, Avinash Kori, Mahendra Khened, Ganapathy Krishnamurthi
2018	J	`jnl`	Enhanced Image Classification With Data Augmentation Using Position Coordinates. CoRR Avinash Kori, Ganapathy Krishnamurthi, Balaji Srinivasan
2018	J	`jnl`	Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs. CoRR Vismay Agrawal, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi
2018	J	`jnl`	Ensemble of Convolutional Neural Networks for Automatic Grading of Diabetic Retinopathy and Macular Edema. CoRR Avinash Kori, Sai Saketh Chennamsetty, Mohammed Safwan K. P., Alex Varghese
2018	—	`conf`	Ensemble of Fully Convolutional Neural Network for Brain Tumor Segmentation from Magnetic Resonance Images. BrainLes@MICCAI (2) Avinash Kori, Mehul Soni, B. Pranjal, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi
2018	—	`conf`	Phase and Amplitude Modulation in a Neural Oscillatory Model of the Orientation Map. ICONIP (2) Bhadra S. Kumar, Avinash Kori, Sundari Elango, V. Srinivasa Chakravarthy