Avishek Joey Bose

53 papers A* 13C 2Journal 33Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Curly Flow Matching for Learning Non-gradient Field Dynamics. CoRR Katarina Petrovic, Lazar Atanackovic, Viggo Moro, Kacper Kapusniak, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose, Alexander Tong
2025	J	`jnl`	FORT: Forward-Only Regression Training of Normalizing Flows. CoRR Danyal Rehman, Oscar Davis, Jiarui Lu, Jian Tang, Michael M. Bronstein, Yoshua Bengio, Alexander Tong, Avishek Joey Bose
2025	J	`jnl`	Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds. CoRR Oscar Davis, Michael S. Albergo, Nicholas M. Boffi, Michael M. Bronstein, Avishek Joey Bose
2025	J	`jnl`	OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction. CoRR Emily Jin, Andrei Cristian Nica, Mikhail Galkin, Jarrid Rector-Brooks, Kin Long Kelvin Lee, Santiago Miret, Frances H. Arnold, Michael M. Bronstein, Avishek Joey Bose, Alexander Tong, Cheng-Hao Liu
2025	J	`jnl`	Planner Aware Path Learning in Diffusion Language Models Training. CoRR Fred Zhangzhi Peng, Zachary Bezemek, Jarrid Rector-Brooks, Shuibai Zhang, Anru R. Zhang, Michael M. Bronstein, Avishek Joey Bose, Alexander Tong
2025	J	`jnl`	Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities. CoRR Tara Akhound-Sadegh, Jungyoon Lee, Avishek Joey Bose, Valentin De Bortoli, Arnaud Doucet, Michael M. Bronstein, Dominique Beaini, Siamak Ravanbakhsh, Kirill Neklyudov, Alexander Tong
2025	J	`jnl`	RETRO SYNFLOW: Discrete Flow Matching for Accurate and Diverse Single-Step Retrosynthesis. CoRR Robin Yadav, Qi Yan, Guy Wolf, Avishek Joey Bose, Renjie Liao
2025	J	`jnl`	Scalable Equilibrium Sampling with Sequential Boltzmann Generators. CoRR Charlie B. Tan, Avishek Joey Bose, Chen Lin, Leon Klein, Michael M. Bronstein, Alexander Tong
2024	A*	`conf`	Fisher Flow Matching for Generative Modeling over Discrete Data. NeurIPS Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose
2024	J	`jnl`	Fisher Flow Matching for Generative Modeling over Discrete Data. CoRR Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose
2024	A*	`conf`	Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. ICML 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
2024	J	`jnl`	Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. CoRR 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
2024	A*	`conf`	Metric Flow Matching for Smooth Interpolations on the Data Manifold. NeurIPS Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael M. Bronstein, Avishek Joey Bose, Francesco Di Giovanni
2024	J	`jnl`	Metric Flow Matching for Smooth Interpolations on the Data Manifold. CoRR Kacper Kapusniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael M. Bronstein, Avishek Joey Bose, Francesco Di Giovanni
2024	A*	`conf`	On the Stability of Iterative Retraining of Generative Models on their own Data. ICLR Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
2024	A*	`conf`	SE(3)-Stochastic Flow Matching for Protein Backbone Generation. ICLR 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
2024	A*	`conf`	Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences. NeurIPS Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel
2024	J	`jnl`	Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences. CoRR Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel
2024	J	`jnl`	Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation. CoRR 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
2024	A*	`conf`	Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation. NeurIPS 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
2024	J	`jnl`	Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction. CoRR 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
2024	J	`jnl`	The Superposition of Diffusion Models Using the Itô Density Estimator. CoRR Marta Skreta, Lazar Atanackovic, Avishek Joey Bose, Alexander Tong, Kirill Neklyudov
2023	A*	`conf`	A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis. ICLR Damien Ferbach, Christos Tsirigotis, Gauthier Gidel, Avishek Joey Bose
2023	J	`jnl`	Feature Likelihood Score: Evaluating Generalization of Generative Models Using Samples. CoRR Marco Jiralerspong, Avishek Joey Bose, Gauthier Gidel
2023	A*	`conf`	Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples. NeurIPS Marco Jiralerspong, Avishek Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel
2023	J	`jnl`	On the Stability of Iterative Retraining of Generative Models on their own Data. CoRR Quentin Bertrand, Avishek Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
2023	J	`jnl`	SE(3)-Stochastic Flow Matching for Protein Backbone Generation. CoRR 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
2022	J	`jnl`	A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis. CoRR Damien Ferbach, Christos Tsirigotis, Gauthier Gidel, Avishek Joey Bose
2022	A*	`conf`	Online Adversarial Attacks. ICLR Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
2022	J	`jnl`	Riemannian Diffusion Models. CoRR Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron C. Courville
2021	J	`jnl`	Equivariant Discrete Normalizing Flows. CoRR Avishek Joey Bose, Ivan Kobyzev
2021	—	`conf`	Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding. EMNLP (1) Nouha Dziri, Andrea Madotto, Osmar Zaïane, Avishek Joey Bose
2021	J	`jnl`	Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding. CoRR Nouha Dziri, Andrea Madotto, Osmar R. Zaïane, Avishek Joey Bose
2021	J	`jnl`	Online Adversarial Attacks. CoRR Andjela Mladenovic, Avishek Joey Bose, Hugo Berard, William L. Hamilton, Simon Lacoste-Julien, Pascal Vincent, Gauthier Gidel
2020	A*	`conf`	Adversarial Example Games. NeurIPS Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton
2020	J	`jnl`	Adversarial Example Games. CoRR Avishek Joey Bose, Gauthier Gidel, Hugo Berard, Andre Cianflone, Pascal Vincent, Simon Lacoste-Julien, William L. Hamilton
2020	A*	`conf`	Latent Variable Modelling with Hyperbolic Normalizing Flows. ICML Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton
2020	J	`jnl`	Latent Variable Modelling with Hyperbolic Normalizing Flows. CoRR Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton
2020	—	`conf`	Structure Aware Negative Sampling in Knowledge Graphs. EMNLP (1) Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose
2020	J	`jnl`	Structure Aware Negative Sampling in Knowledge Graphs. CoRR Kian Ahrabian, Aarash Feizi, Yasmin Salehi, William L. Hamilton, Avishek Joey Bose
2019	—	`conf`	A Cross-Domain Transferable Neural Coherence Model. ACL (1) Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung
2019	J	`jnl`	A Cross-Domain Transferable Neural Coherence Model. CoRR Peng Xu, Hamidreza Saghir, Jin Sung Kang, Teng Long, Avishek Joey Bose, Yanshuai Cao, Jackie Chi Kit Cheung
2019	A*	`conf`	Compositional Fairness Constraints for Graph Embeddings. ICML Avishek Joey Bose, William L. Hamilton
2019	J	`jnl`	Compositional Fairness Constraints for Graph Embeddings. CoRR Avishek Joey Bose, William L. Hamilton
2019	J	`jnl`	Generalizable Adversarial Attacks Using Generative Models. CoRR Avishek Joey Bose, Andre Cianflone, William L. Hamilton
2019	J	`jnl`	Improving Exploration in Soft-Actor-Critic with Normalizing Flows Policies. CoRR Patrick Nadeem Ward, Ariella Smofsky, Avishek Joey Bose
2019	J	`jnl`	Meta-Graph: Few shot Link Prediction via Meta Learning. CoRR Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton
2019	C	`conf`	Virtual Fakes: DeepFakes for Virtual Reality. MMSP Avishek Joey Bose, Parham Aarabi
2018	C	`conf`	Adversarial Attacks on Face Detectors Using Neural Net Based Constrained Optimization. MMSP Avishek Joey Bose, Parham Aarabi
2018	J	`jnl`	Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization. CoRR Avishek Joey Bose, Parham Aarabi
2018	—	`conf`	Adversarial Contrastive Estimation. ACL (1) Avishek Joey Bose, Huan Ling, Yanshuai Cao
2018	J	`jnl`	Adversarial Contrastive Estimation. CoRR Avishek Joey Bose, Huan Ling, Yanshuai Cao
2014	—	`conf`	Walking through sight: Seeing the ability to see, in a 3-D augmediated reality environment. GEM Ryan E. Janzen, Seyed Nima Yasrebi, Avishek Joey Bose, Arjun Subramanian, Steve Mann