Avishek Joey Bose

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 37

Top Topics

Diffusion Model

Generative Model

Dialogue System

Top Venues

Publications

Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose
Fisher Flow Matching for Generative Modeling over Discrete Data. CoRR (2024)
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
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. CoRR (2024)
Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
On the Stability of Iterative Retraining of Generative Models on their own Data. ICLR (2024)
Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael M. Bronstein, Avishek Joey Bose, Francesco Di Giovanni
Metric Flow Matching for Smooth Interpolations on the Data Manifold. CoRR (2024)
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
SE(3)-Stochastic Flow Matching for Protein Backbone Generation. ICLR (2024)
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
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation. CoRR (2024)
Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences. CoRR (2024)
Damien Ferbach, Christos Tsirigotis, Gauthier Gidel, Avishek Joey Bose
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis. ICLR (2023)
Avishek Joey Bose, Tara Akhound-Sadegh, Kilian Fatras, Guillaume Huguet, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael M. Bronstein, Alexander Tong
SE(3)-Stochastic Flow Matching for Protein Backbone Generation. CoRR (2023)
Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
On the Stability of Iterative Retraining of Generative Models on their own Data. CoRR (2023)
Marco Jiralerspong, Avishek Joey Bose, Gauthier Gidel
Feature Likelihood Score: Evaluating Generalization of Generative Models Using Samples. CoRR (2023)
Marco Jiralerspong, Avishek Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel
Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples. NeurIPS (2023)
Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron C. Courville
Riemannian Diffusion Models. CoRR (2022)
Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
Online Adversarial Attacks. ICLR (2022)
Damien Ferbach, Christos Tsirigotis, Gauthier Gidel, Avishek Joey Bose
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis. CoRR (2022)
Avishek Joey Bose, Ivan Kobyzev
Equivariant Discrete Normalizing Flows. CoRR (2021)
Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
Online Adversarial Attacks. CoRR (2021)
Nouha Dziri, Andrea Madotto, Osmar Zaïane, Avishek Joey Bose
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding. EMNLP (1) (2021)
Nouha Dziri, Andrea Madotto, Osmar R. Zaïane, Avishek Joey Bose
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding. CoRR (2021)
Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose
Structure Aware Negative Sampling in Knowledge Graphs. CoRR (2020)
Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton
Latent Variable Modelling with Hyperbolic Normalizing Flows. ICML (2020)
Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose
Structure Aware Negative Sampling in Knowledge Graphs. EMNLP (1) (2020)
Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton
Latent Variable Modelling with Hyperbolic Normalizing Flows. CoRR (2020)
Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton
Adversarial Example Games. NeurIPS (2020)
Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton
Adversarial Example Games. CoRR (2020)
Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton
Meta-Graph: Few shot Link Prediction via Meta Learning. CoRR (2019)
Patrick Nadeem Ward, Ariella Smofsky, Avishek Joey Bose
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies. CoRR (2019)
Avishek Joey Bose, William L. Hamilton
Compositional Fairness Constraints for Graph Embeddings. ICML (2019)
Avishek Joey Bose, Andre Cianflone, William L. Hamilton
Generalizable Adversarial Attacks Using Generative Models. CoRR (2019)
Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung
A Cross-Domain Transferable Neural Coherence Model. ACL (1) (2019)
Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung
A Cross-Domain Transferable Neural Coherence Model. CoRR (2019)
Avishek Joey Bose, Parham Aarabi
Virtual Fakes: DeepFakes for Virtual Reality. MMSP (2019)
Avishek Joey Bose, William L. Hamilton
Compositional Fairness Constraints for Graph Embeddings. CoRR (2019)
Avishek Joey Bose, Huan Ling, Yanshuai Cao
Adversarial Contrastive Estimation. ACL (1) (2018)
Avishek Joey Bose, Huan Ling, Yanshuai Cao
Adversarial Contrastive Estimation. CoRR (2018)
Avishek Joey Bose, Parham Aarabi
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization. CoRR (2018)
Avishek Joey Bose, Parham Aarabi
Adversarial Attacks on Face Detectors Using Neural Net Based Constrained Optimization. MMSP (2018)
Ryan E. Janzen, Seyed Nima Yasrebi, Avishek Joey Bose, Arjun Subramanian, Steve Mann
Walking through sight: Seeing the ability to see, in a 3-D augmediated reality environment. GEM (2014)