Avishek Joey Bose

According to our database, Avishek Joey Bose authored at least 27 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction.

Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Zachary Quinn, Cheng-Hao Liu, Sarthak Mittal, Nouha Dziri, Michael M. Bronstein, Yoshua Bengio, Pranam Chatterjee, Alexander Tong, Avishek Joey Bose

CoRR, 2024

Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences.

Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel

CoRR, 2024

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation.

Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael M. Bronstein, Alexander Tong, Avishek Joey Bose

CoRR, 2024

Metric Flow Matching for Smooth Interpolations on the Data Manifold.

Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael M. Bronstein, Avishek Joey Bose, Francesco Di Giovanni

CoRR, 2024

Fisher Flow Matching for Generative Modeling over Discrete Data.

Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose

CoRR, 2024

Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SE(3)-Stochastic Flow Matching for Protein Backbone Generation.

Avishek Joey Bose, Tara Akhound-Sadegh, Guillaume Huguet, Kilian Fatras, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael M. Bronstein, Alexander Tong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Stability of Iterative Retraining of Generative Models on their own Data.

Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Feature Likelihood Score: Evaluating Generalization of Generative Models Using Samples.

Marco Jiralerspong, Avishek Joey Bose, Gauthier Gidel

CoRR, 2023

Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples.

Marco Jiralerspong, Avishek Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis.

Damien Ferbach, Christos Tsirigotis, Gauthier Gidel, Avishek Joey Bose

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Riemannian Diffusion Models.

Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron C. Courville

CoRR, 2022

Online Adversarial Attacks.

Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Equivariant Discrete Normalizing Flows.

Avishek Joey Bose, Ivan Kobyzev

CoRR, 2021

Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding.

Nouha Dziri, Andrea Madotto, Osmar Zaïane, Avishek Joey Bose

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Adversarial Example Games.

Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Latent Variable Modelling with Hyperbolic Normalizing Flows.

Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton

Proceedings of the 37th International Conference on Machine Learning, 2020

Structure Aware Negative Sampling in Knowledge Graphs.

Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Meta-Graph: Few shot Link Prediction via Meta Learning.

Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton

CoRR, 2019

Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies.

Patrick Nadeem Ward, Ariella Smofsky, Avishek Joey Bose

CoRR, 2019

Generalizable Adversarial Attacks Using Generative Models.

Avishek Joey Bose, Andre Cianflone, William L. Hamilton

CoRR, 2019

Virtual Fakes: DeepFakes for Virtual Reality.

Avishek Joey Bose, Parham Aarabi

Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Compositional Fairness Constraints for Graph Embeddings.

Avishek Joey Bose, William L. Hamilton

Proceedings of the 36th International Conference on Machine Learning, 2019

A Cross-Domain Transferable Neural Coherence Model.

Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Adversarial Attacks on Face Detectors Using Neural Net Based Constrained Optimization.

Avishek Joey Bose, Parham Aarabi

Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018

Adversarial Contrastive Estimation.

Avishek Joey Bose, Huan Ling, Yanshuai Cao

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2014

Walking through sight: Seeing the ability to see, in a 3-D augmediated reality environment.

Ryan E. Janzen, Seyed Nima Yasrebi, Avishek Joey Bose, Arjun Subramanian, Steve Mann

Proceedings of the 2014 IEEE Games Media Entertainment, 2014