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ORCIDAvishek Joey Bose
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2020 – today
- 2025
[i26]Charlie B. Tan, Avishek Joey Bose, Chen Lin, Leon Klein, Michael M. Bronstein, Alexander Tong:
Scalable Equilibrium Sampling with Sequential Boltzmann Generators. CoRR abs/2502.18462 (2025)- 2024
- [c20]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 - [c19]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 - [c18]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. ICML 2024 - [c17]Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose:
Fisher Flow Matching for Generative Modeling over Discrete Data. NeurIPS 2024 - [c16]Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel:
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences. NeurIPS 2024 - [c15]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 Generation. NeurIPS 2024 - [c14]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. NeurIPS 2024 - [i25]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 abs/2402.06121 (2024) - [i24]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 abs/2405.14664 (2024) - [i23]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 abs/2405.14780 (2024) - [i22]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 abs/2405.20313 (2024) - [i21]Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel:
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences. CoRR abs/2407.09499 (2024) - [i20]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:
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction. CoRR abs/2410.08134 (2024) - [i19]Marta Skreta, Lazar Atanackovic, Avishek Joey Bose, Alexander Tong, Kirill Neklyudov:
The Superposition of Diffusion Models Using the Itô Density Estimator. CoRR abs/2412.17762 (2024) - 2023
- [c13]Damien Ferbach, Christos Tsirigotis, Gauthier Gidel, Avishek Joey Bose:
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis. ICLR 2023 - [c12]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 - [i18]Marco Jiralerspong, Avishek Joey Bose, Gauthier Gidel:
Feature Likelihood Score: Evaluating Generalization of Generative Models Using Samples. CoRR abs/2302.04440 (2023) - [i17]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 abs/2310.00429 (2023) - [i16]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 abs/2310.02391 (2023) - 2022
- [c11]Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel:
Online Adversarial Attacks. ICLR 2022 - [i15]Damien Ferbach, Christos Tsirigotis, Gauthier Gidel, Avishek Joey Bose:
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis. CoRR abs/2206.04270 (2022) - [i14]Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron C. Courville:
Riemannian Diffusion Models. CoRR abs/2208.07949 (2022) - 2021
- [c10]Nouha Dziri, Andrea Madotto, Osmar Zaïane, Avishek Joey Bose:
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding. EMNLP (1) 2021: 2197-2214 - [i13]Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel:
Online Adversarial Attacks. CoRR abs/2103.02014 (2021) - [i12]Nouha Dziri, Andrea Madotto, Osmar R. Zaïane, Avishek Joey Bose:
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding. CoRR abs/2104.08455 (2021) - [i11]Avishek Joey Bose, Ivan Kobyzev:
Equivariant Discrete Normalizing Flows. CoRR abs/2110.08649 (2021) - 2020
- [c9]Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose:
Structure Aware Negative Sampling in Knowledge Graphs. EMNLP (1) 2020: 6093-6101 - [c8]Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton:
Latent Variable Modelling with Hyperbolic Normalizing Flows. ICML 2020: 1045-1055 - [c7]Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton:
Adversarial Example Games. NeurIPS 2020 - [i10]Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton:
Latent Variable Modelling with Hyperbolic Normalizing Flows. CoRR abs/2002.06336 (2020) - [i9]Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton:
Adversarial Example Games. CoRR abs/2007.00720 (2020) - [i8]Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose:
Structure Aware Negative Sampling in Knowledge Graphs. CoRR abs/2009.11355 (2020)
2010 – 2019
- 2019
- [c6]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: 678-687 - [c5]Avishek Joey Bose, William L. Hamilton:
Compositional Fairness Constraints for Graph Embeddings. ICML 2019: 715-724 - [c4]Avishek Joey Bose, Parham Aarabi:
Virtual Fakes: DeepFakes for Virtual Reality. MMSP 2019: 1 - [i7]Avishek Joey Bose, William L. Hamilton:
Compositional Fairness Constraints for Graph Embeddings. CoRR abs/1905.10674 (2019) - [i6]Avishek Joey Bose, Andre Cianflone, William L. Hamilton:
Generalizable Adversarial Attacks Using Generative Models. CoRR abs/1905.10864 (2019) - [i5]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 abs/1905.11912 (2019) - [i4]Patrick Nadeem Ward, Ariella Smofsky, Avishek Joey Bose:
Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies. CoRR abs/1906.02771 (2019) - [i3]Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton:
Meta-Graph: Few shot Link Prediction via Meta Learning. CoRR abs/1912.09867 (2019) - 2018
- [c3]Avishek Joey Bose, Huan Ling, Yanshuai Cao:
Adversarial Contrastive Estimation. ACL (1) 2018: 1021-1032 - [c2]Avishek Joey Bose, Parham Aarabi:
Adversarial Attacks on Face Detectors Using Neural Net Based Constrained Optimization. MMSP 2018: 1-6 - [i2]Avishek Joey Bose, Huan Ling, Yanshuai Cao:
Adversarial Contrastive Estimation. CoRR abs/1805.03642 (2018) - [i1]Avishek Joey Bose, Parham Aarabi:
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization. CoRR abs/1805.12302 (2018) - 2014
- [c1]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: 1-2
Coauthor Index
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last updated on 2025-03-22 00:03 CET by the dblp team
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