Eugene Belilovsky

131 papers A* 26A 3B 1C 1Journal 87Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Celo2: Towards Learned Optimization Free Lunch. CoRR Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky
2026	J	`jnl`	Covenant-72B: Pre-Training a 72B LLM with Trustless Peers Over-the-Internet. CoRR Joel Lidin, Amir Sarfi, Erfan Miahi, Quentin Anthony, Shivam Chauhan, Evangelos Pappas, Benjamin Thérien, Eugene Belilovsky, Samuel Dare
2026	J	`jnl`	Dual-Phase Continual Learning: Supervised Adaptation Meets Unsupervised Retention. Trans. Mach. Learn. Res. Vaibhav Singh, Rahaf Aljundi, Eugene Belilovsky
2026	J	`jnl`	Efficient Refusal Ablation in LLM through Optimal Transport. CoRR Géraldin Nanfack, Eugene Belilovsky, Elvis Dohmatob
2026	J	`jnl`	From Feature Visualization to Visual Circuits: Effect of Model Perturbation. Trans. Mach. Learn. Res. Géraldin Nanfack, Michael Eickenberg, Eugene Belilovsky
2026	J	`jnl`	Heterogeneous Low-Bandwidth Pre-Training of LLMs. CoRR Yazan Obeidi, Amir Sarfi, Joel Lidin, Paul Janson, Eugene Belilovsky
2026	J	`jnl`	Stabilizing Native Low-Rank LLM Pretraining. CoRR Paul Janson, Edouard Oyallon, Eugene Belilovsky
2026	J	`jnl`	Understanding and Exploiting Weight Update Sparsity for Communication-Efficient Distributed RL. CoRR Erfan Miahi, Eugene Belilovsky
2025	A*	`conf`	Accelerating Training with Neuron Interaction and Nowcasting Networks. ICLR Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien
2025	A*	`conf`	AdaFisher: Adaptive Second Order Optimization via Fisher Information. ICLR Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini
2025	—	`conf`	Adaptive Local Training in Federated Learning. EUSIPCO Donald Shenaj, Eugene Belilovsky, Pietro Zanuttigh
2025	J	`jnl`	Beyond Cosine Decay: On the effectiveness of Infinite Learning Rate Schedule for Continual Pre-training. CoRR Vaibhav Singh, Paul Janson, Paria Mehrbod, Adam Ibrahim, Irina Rish, Eugene Belilovsky, Benjamin Thérien
2025	J	`jnl`	Celo: Training Versatile Learned Optimizers on a Compute Diet. Trans. Mach. Learn. Res. Abhinav Moudgil, Boris Knyazev, Guillaume Lajoie, Eugene Belilovsky
2025	J	`jnl`	Communication Efficient LLM Pre-training with SparseLoCo. CoRR Amir Sarfi, Benjamin Thérien, Joel Lidin, Eugene Belilovsky
2025	J	`jnl`	Continual Pre-training of MoEs: How robust is your router? CoRR Benjamin Thérien, Charles-Étienne Joseph, Zain Sarwar, Ashwinee Panda, Anirban Das, Shi-Xiong Zhang, Stephen Rawls, Sambit Sahu, Eugene Belilovsky, Irina Rish
2025	J	`jnl`	Continual Pre-training of MoEs: How robust is your router? Trans. Mach. Learn. Res. Benjamin Thérien, Charles-Étienne Joseph, Zain Sarwar, Ashwinee Panda, Anirban Das, Shi-Xiong Zhang, Stephen Rawls, Sambit Sahu, Eugene Belilovsky, Irina Rish
2025	J	`jnl`	FairDropout: Using Example-Tied Dropout to Enhance Generalization of Minority Groups. CoRR Géraldin Nanfack, Eugene Belilovsky
2025	J	`jnl`	Geometry-Aware Preference Learning for 3D Texture Generation. CoRR AmirHossein Zamani, Tianhao Xie, Amir G. Aghdam, Tiberiu Popa, Eugene Belilovsky
2025	—	`conf`	Incentivizing Permissionless Distributed Learning of LLMs. DAI Joel Lidin, Amir Sarfi, Evangelos Pappas, Samuel Dare, Eugene Belilovsky, Jacob Steeves
2025	J	`jnl`	Incentivizing Permissionless Distributed Learning of LLMs. CoRR Joel Lidin, Amir Sarfi, Evangelos Pappas, Samuel Dare, Eugene Belilovsky, Jacob Steeves
2025	J	`jnl`	Learning Versatile Optimizers on a Compute Diet. CoRR Abhinav Moudgil, Boris Knyazev, Guillaume Lajoie, Eugene Belilovsky
2025	J	`jnl`	Less is More: Undertraining Experts Improves Model Upcycling. CoRR Stefan Horoi, Guy Wolf, Eugene Belilovsky, Gintare Karolina Dziugaite
2025	J	`jnl`	Meta-learning Optimizers for Communication-Efficient Learning. Trans. Mach. Learn. Res. Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky
2025	J	`jnl`	Model Parallelism With Subnetwork Data Parallelism. CoRR Vaibhav Singh, Zafir Khalid, Edouard Oyallon, Eugene Belilovsky
2025	J	`jnl`	MuLoCo: Muon is a practical inner optimizer for DiLoCo. CoRR Benjamin Thérien, Xiaolong Huang, Irina Rish, Eugene Belilovsky
2025	A*	`conf`	PETRA: Parallel End-to-end Training with Reversible Architectures. ICLR Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2025	J	`jnl`	PyLO: Towards Accessible Learned Optimizers in PyTorch. CoRR Paul Janson, Benjamin Thérien, Quentin Anthony, Xiaolong Huang, Abhinav Moudgil, Eugene Belilovsky
2025	J	`jnl`	Rethinking Prompt Optimization: Reinforcement, Diversification, and Migration in Blackbox LLMs. CoRR MohammadReza Davari, Utkarsh Garg, Weixin Cai, Eugene Belilovsky
2025	J	`jnl`	Test Time Adaptation Using Adaptive Quantile Recalibration. CoRR Paria Mehrbod, Pedro Vianna, Géraldin Nanfack, Guy Wolf, Eugene Belilovsky
2025	J	`jnl`	Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients. CoRR Gwen Legate, Irina Rish, Eugene Belilovsky
2025	J	`jnl`	When Data Falls Short: Grokking Below the Critical Threshold. CoRR Vaibhav Singh, Eugene Belilovsky, Rahaf Aljundi
2024	J	`jnl`	ACCO: Accumulate while you Communicate, Hiding Communications in Distributed LLM Training. CoRR Adel Nabli, Louis Fournier, Pierre Erbacher, Louis Serrano, Eugene Belilovsky, Edouard Oyallon
2024	J	`jnl`	Accelerating Training with Neuron Interaction and Nowcasting Networks. CoRR Boris Knyazev, Abhinav Moudgil, Guillaume Lajoie, Eugene Belilovsky, Simon Lacoste-Julien
2024	J	`jnl`	AdaFisher: Adaptive Second Order Optimization via Fisher Information. CoRR Damien Martins Gomes, Yanlei Zhang, Eugene Belilovsky, Guy Wolf, Mahdi S. Hosseini
2024	A*	`conf`	Adversarial Attacks on the Interpretation of Neuron Activation Maximization. AAAI Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty, Michael Eickenberg, Eugene Belilovsky
2024	—	`conf`	Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation. CoLLAs Pedro Vianna, Muawiz Sajjad Chaudhary, Paria Mehrbod, An Tang, Guy Cloutier, Guy Wolf, Michael Eickenberg, Eugene Belilovsky
2024	J	`jnl`	Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation. CoRR Pedro Vianna, Muawiz Chaudhary, Paria Mehrbod, An Tang, Guy Cloutier, Guy Wolf, Michael Eickenberg, Eugene Belilovsky
2024	J	`jnl`	Controlling Forgetting with Test-Time Data in Continual Learning. CoRR Vaibhav Singh, Rahaf Aljundi, Eugene Belilovsky
2024	J	`jnl`	From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation. CoRR Géraldin Nanfack, Michael Eickenberg, Eugene Belilovsky
2024	A*	`conf`	Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis. ICML Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky, Guy Wolf
2024	J	`jnl`	Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis. CoRR Stefan Horoi, Albert Manuel Orozco Camacho, Eugene Belilovsky, Guy Wolf
2024	—	`conf`	Model Breadcrumbs: Scaling Multi-task Model Merging with Sparse Masks. ECCV (75) MohammadReza Davari, Eugene Belilovsky
2024	B	`conf`	Non-Uniform Parameter-Wise Model Merging. IEEE Big Data Albert Manuel Orozco Camacho, Stefan Horoi, Guy Wolf, Eugene Belilovsky
2024	J	`jnl`	Non-Uniform Parameter-Wise Model Merging. CoRR Albert Manuel Orozco Camacho, Stefan Horoi, Guy Wolf, Eugene Belilovsky
2024	J	`jnl`	Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting. CoRR Humza Wajid Hameed, Géraldin Nanfack, Eugene Belilovsky
2024	J	`jnl`	PETRA: Parallel End-to-end Training with Reversible Architectures. CoRR Stéphane Rivaud, Louis Fournier, Thomas Pumir, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2024	J	`jnl`	Simple and Scalable Strategies to Continually Pre-train Large Language Models. CoRR Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, Quentin Anthony, Timothée Lesort, Eugene Belilovsky, Irina Rish
2024	J	`jnl`	Simple and Scalable Strategies to Continually Pre-train Large Language Models. Trans. Mach. Learn. Res. Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, Quentin Gregory Anthony, Eugene Belilovsky, Timothée Lesort, Irina Rish
2024	J	`jnl`	Sketch-guided Cage-based 3D Gaussian Splatting Deformation. CoRR Tianhao Xie, Noam Aigerman, Eugene Belilovsky, Tiberiu Popa
2024	J	`jnl`	Temporally Consistent Object Editing in Videos using Extended Attention. CoRR AmirHossein Zamani, Amir G. Aghdam, Tiberiu Popa, Eugene Belilovsky
2024	—	`conf`	Towards Motion from Video Diffusion Models. ECCV Workshops (12) Paul Janson, Tiberiu Popa, Eugene Belilovsky
2024	J	`jnl`	Towards motion from video diffusion models. CoRR Paul Janson, Tiberiu Popa, Eugene Belilovsky
2024	J	`jnl`	WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average. CoRR Louis Fournier, Adel Nabli, Masih Aminbeidokhti, Marco Pedersoli, Eugene Belilovsky, Edouard Oyallon
2024	J	`jnl`	μLO: Compute-Efficient Meta-Generalization of Learned Optimizers. CoRR Benjamin Thérien, Charles-Étienne Joseph, Boris Knyazev, Edouard Oyallon, Irina Rish, Eugene Belilovsky
2023	A*	`conf`	A NeurIPS Adel Nabli, Eugene Belilovsky, Edouard Oyallon
2023	J	`jnl`	A CoRR Adel Nabli, Eugene Belilovsky, Edouard Oyallon
2023	J	`jnl`	Adversarial Attacks on the Interpretation of Neuron Activation Maximization. CoRR Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty, Michael Eickenberg, Eugene Belilovsky
2023	A*	`conf`	Can Forward Gradient Match Backpropagation? ICML Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2023	J	`jnl`	Can Forward Gradient Match Backpropagation? CoRR Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2023	J	`jnl`	Can We Learn Communication-Efficient Optimizers? CoRR Charles-Étienne Joseph, Benjamin Thérien, Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky
2023	J	`jnl`	Continual Pre-Training of Large Language Models: How to (re)warm your model? CoRR Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats L. Richter, Quentin Anthony, Eugene Belilovsky, Irina Rish, Timothée Lesort
2023	J	`jnl`	DragD3D: Vertex-based Editing for Realistic Mesh Deformations using 2D Diffusion Priors. CoRR Tianhao Xie, Eugene Belilovsky, Sudhir P. Mudur, Tiberiu Popa
2023	J	`jnl`	Gradient Masked Averaging for Federated Learning. Trans. Mach. Learn. Res. Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Irina Rish, Eugene Belilovsky
2023	A*	`conf`	Guiding The Last Layer in Federated Learning with Pre-Trained Models. NeurIPS Gwen Legate, Nicolas Bernier, Lucas Page-Caccia, Edouard Oyallon, Eugene Belilovsky
2023	J	`jnl`	Guiding The Last Layer in Federated Learning with Pre-Trained Models. CoRR Gwen Legate, Nicolas Bernier, Lucas Caccia, Edouard Oyallon, Eugene Belilovsky
2023	J	`jnl`	Imitation from Observation With Bootstrapped Contrastive Learning. CoRR Medric Sonwa, Johanna Hansen, Eugene Belilovsky
2023	J	`jnl`	Local Learning with Neuron Groups. CoRR Adeetya Patel, Michael Eickenberg, Eugene Belilovsky
2023	J	`jnl`	Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks. CoRR MohammadReza Davari, Eugene Belilovsky
2023	A*	`conf`	Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning. ICML Nader Asadi, MohammadReza Davari, Sudhir P. Mudur, Rahaf Aljundi, Eugene Belilovsky
2023	J	`jnl`	Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning. CoRR Nader Asadi, MohammadReza Davari, Sudhir P. Mudur, Rahaf Aljundi, Eugene Belilovsky
2023	—	`conf`	Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning. CoLLAs Gwen Legate, Lucas Caccia, Eugene Belilovsky
2023	J	`jnl`	Re-Weighted Softmax Cross-Entropy to Control Forgetting in Federated Learning. CoRR Gwen Legate, Lucas Caccia, Eugene Belilovsky
2023	A*	`conf`	Reliability of CKA as a Similarity Measure in Deep Learning. ICLR MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky
2023	A*	`conf`	Simulated Annealing in Early Layers Leads to Better Generalization. CVPR AmirMohammad Sarfi, Zahra Karimpour, Muawiz Chaudhary, Nasir Mohammad Khalid, Mirco Ravanelli, Sudhir P. Mudur, Eugene Belilovsky
2023	J	`jnl`	Simulated Annealing in Early Layers Leads to Better Generalization. CoRR AmirMohammad Sarfi, Zahra Karimpour, Muawiz Chaudhary, Nasir Mohammad Khalid, Mirco Ravanelli, Sudhir P. Mudur, Eugene Belilovsky
2022	A*	`conf`	CLIP-Mesh: Generating textured meshes from text using pretrained image-text models. SIGGRAPH Asia Nasir Mohammad Khalid, Tianhao Xie, Eugene Belilovsky, Tiberiu Popa
2022	J	`jnl`	Gradient Masked Averaging for Federated Learning. CoRR Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Eugene Belilovsky, Irina Rish
2022	A*	`conf`	New Insights on Reducing Abrupt Representation Change in Online Continual Learning. ICLR Lucas Caccia, Rahaf Aljundi, Nader Asadi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky
2022	A*	`conf`	Parametric Scattering Networks. CVPR Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Muawiz Chaudhary, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf
2022	A*	`conf`	Probing Representation Forgetting in Supervised and Unsupervised Continual Learning. CVPR MohammadReza Davari, Nader Asadi, Sudhir P. Mudur, Rahaf Aljundi, Eugene Belilovsky
2022	J	`jnl`	Probing Representation Forgetting in Supervised and Unsupervised Continual Learning. CoRR MohammadReza Davari, Nader Asadi, Sudhir P. Mudur, Rahaf Aljundi, Eugene Belilovsky
2022	J	`jnl`	Reliability of CKA as a Similarity Measure in Deep Learning. CoRR MohammadReza Davari, Stefan Horoi, Amine Natik, Guillaume Lajoie, Guy Wolf, Eugene Belilovsky
2022	A*	`conf`	Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning. CVPR Moslem Yazdanpanah, Aamer Abdul Rahman, Muawiz Chaudhary, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou
2022	J	`jnl`	Tackling Online One-Class Incremental Learning by Removing Negative Contrasts. CoRR Nader Asadi, Sudhir P. Mudur, Eugene Belilovsky
2022	J	`jnl`	Text to Mesh Without 3D Supervision Using Limit Subdivision. CoRR Nasir Mohammad Khalid, Tianhao Xie, Eugene Belilovsky, Tiberiu Popa
2022	A*	`conf`	Towards Scaling Difference Target Propagation by Learning Backprop Targets. ICML Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio
2022	J	`jnl`	Towards Scaling Difference Target Propagation by Learning Backprop Targets. CoRR Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake A. Richards, Yoshua Bengio
2021	J	`jnl`	Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning. CoRR Eugene Belilovsky, Louis Leconte, Lucas Caccia, Michael Eickenberg, Edouard Oyallon
2021	A*	`conf`	Generative Compositional Augmentations for Scene Graph Prediction. ICCV Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2021	J	`jnl`	Learning Compositional Shape Priors for Few-Shot 3D Reconstruction. CoRR Mateusz Michalkiewicz, Stavros Tsogkas, Sarah Parisot, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
2021	J	`jnl`	Parametric Scattering Networks. CoRR Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf
2021	J	`jnl`	Reducing Representation Drift in Online Continual Learning. CoRR Lucas Caccia, Rahaf Aljundi, Tinne Tuytelaars, Joelle Pineau, Eugene Belilovsky
2021	A*	`conf`	The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods. ICLR Louis Thiry, Michael Arbel, Eugene Belilovsky, Edouard Oyallon
2021	J	`jnl`	The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods. CoRR Louis Thiry, Michael Arbel, Eugene Belilovsky, Edouard Oyallon
2020	A	`conf`	A Simple and Scalable Shape Representation for 3D Reconstruction. BMVC Mateusz Michalkiewicz, Eugene Belilovsky, Mahsa Baktashmotlagh, Anders P. Eriksson
2020	J	`jnl`	A Simple and Scalable Shape Representation for 3D Reconstruction. CoRR Mateusz Michalkiewicz, Eugene Belilovsky, Mahsa Baktashmotlagh, Anders P. Eriksson
2020	A*	`conf`	Decoupled Greedy Learning of CNNs. ICML Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2020	—	`conf`	Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors. ECCV (25) Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
2020	J	`jnl`	Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors. CoRR Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders P. Eriksson, Eugene Belilovsky
2020	J	`jnl`	Generative Graph Perturbations for Scene Graph Prediction. CoRR Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2020	A	`conf`	Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. BMVC Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2020	J	`jnl`	Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation. CoRR Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky
2020	J	`jnl`	Kymatio: Scattering Transforms in Python. J. Mach. Learn. Res. Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Muawiz Chaudhary, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine Cella, Michael Eickenberg
2020	A*	`conf`	Online Learned Continual Compression with Adaptive Quantization Modules. ICML Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
2019	J	`jnl`	Decoupled Greedy Learning of CNNs. CoRR Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2019	A*	`conf`	Greedy Layerwise Learning Can Scale To ImageNet. ICML Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2019	A*	`conf`	Online Continual Learning with Maximal Interfered Retrieval. NeurIPS Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars, Laurent Charlin, Massimo Caccia, Min Lin, Lucas Page-Caccia
2019	J	`jnl`	Online Continual Learning with Maximally Interfered Retrieval. CoRR Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars
2019	J	`jnl`	Online Learned Continual Compression with Stacked Quantization Module. CoRR Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
2019	J	`jnl`	Scattering Networks for Hybrid Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky
2019	A	`conf`	VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. BMVC Catalina Cangea, Eugene Belilovsky, Aaron C. Courville
2019	—	`conf`	VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. ViGIL@NeurIPS Catalina Cangea, Eugene Belilovsky, Pietro Liò, Aaron C. Courville
2019	J	`jnl`	VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering. CoRR Catalina Cangea, Eugene Belilovsky, Pietro Liò, Aaron C. Courville
2018	J	`jnl`	Blindfold Baselines for Embodied QA. CoRR Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle, Aaron C. Courville
2018	—	`conf`	Compressing the Input for CNNs with the First-Order Scattering Transform. ECCV (9) Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko
2018	J	`jnl`	Compressing the Input for CNNs with the First-Order Scattering Transform. CoRR Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko
2018	J	`jnl`	Greedy Layerwise Learning Can Scale to ImageNet. CoRR Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
2018	J	`jnl`	Kymatio: Scattering Transforms in Python. CoRR Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine Cella, Michael Eickenberg
2018	J	`jnl`	Scattering Networks for Hybrid Representation Learning. CoRR Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky
2018	—	`—`	Structured Sparse Learning on Graphs in High-Dimensional Data with Applications to NeuroImaging. (Apprentissage de graphes structuré et parcimonieux dans des données de haute dimension avec applications à l'imagerie cérébrale). Eugene Belilovsky
2017	—	`conf`	Joint Embeddings of Scene Graphs and Images. ICLR (Workshop) Eugene Belilovsky, Matthew B. Blaschko, Jamie Ryan Kiros, Raquel Urtasun, Richard S. Zemel
2017	—	`conf`	Learning to Discover Sparse Graphical Models. ICLR (Workshop) Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux, Matthew B. Blaschko
2017	A*	`conf`	Learning to Discover Sparse Graphical Models. ICML Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux, Matthew B. Blaschko
2017	A*	`conf`	Scaling the Scattering Transform: Deep Hybrid Networks. ICCV Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko
2017	J	`jnl`	Scaling the Scattering Transform: Deep Hybrid Networks. CoRR Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko
2016	A*	`conf`	A Test of Relative Similarity For Model Selection in Generative Models. ICLR (Poster) Wacha Bounliphone, Eugene Belilovsky, Matthew B. Blaschko, Ioannis Antonoglou, Arthur Gretton
2016	J	`jnl`	Fast Non-Parametric Tests of Relative Dependency and Similarity. CoRR Wacha Bounliphone, Eugene Belilovsky, Arthur Tenenhaus, Ioannis Antonoglou, Arthur Gretton, Matthew B. Blaschko
2016	—	`conf`	Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity. NIPS Eugene Belilovsky, Gaël Varoquaux, Matthew B. Blaschko
2015	J	`jnl`	Convex relaxations of penalties for sparse correlated variables with bounded total variation. Mach. Learn. Eugene Belilovsky, Andreas Argyriou, Gaël Varoquaux, Matthew B. Blaschko
2015	J	`jnl`	Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm. Comput. Medical Imaging Graph. Eugene Belilovsky, Katerina Gkirtzou, Michail Misyrlis, Anna B. Konova, Jean Honorio, Nelly Alia-Klein, Rita Z. Goldstein, Dimitris Samaras, Matthew B. Blaschko
2009	C	`conf`	Generalized cyclic transformations in speaker-independent speech recognition. ASRU Florian Müller, Eugene Belilovsky, Alfred Mertins