Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation
NeurIPS 2024
G. Huguet*, J. Vuckovic*, K. Fatras, E. Thibodeau-Laufer, P. Lemos, R. Islam, C. Liu, J. Rector-Brooks, T. Akhound-Sadegh, M. Bronstein, A. Tong, A. J. Bose
arxiv
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences
NeurIPS 2024 (Spotlight)
D. Ferbach, Q. Bertrand, A. J. Bose, G. Gidel
arxiv
Metric Flow Matching for Smooth Interpolations on the Data Manifold
NeurIPS 2024
K. Kapusniak, P. Potaptchik, T. Reu, L. Zhang, A. Tong, M. Bronstein, A. J. Bose, F. D. Giovanni
arxiv
Fisher Flow Matching for Generative Modeling over Discrete Data
NeurIPS 2024
O. Davis, S. Kessler, M. Petrache, I. I. Ceylan, M. Bronstein, A. J. Bose
arxiv
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
ICML 2024
T. Akhound-Sadegh*, J. Rector-Brooks*, A.J. Bose*, S. Mittal, P. Lemos, C.H. Liu, M. Sendera, S. Ravanbaksh, G. Gidel, Y. Bengio, N. Malkin, A. Tong
arxiv
A Geometric Perspective to Deep Generative Models
Phd Thesis 2023
A. J. Bose
arxiv
SE(3) Stochastic Flow Matching for Protein For Protein Backbone Generation
ICLR 2024 (Spotlight)
A. J. Bose*, T. Akhound-Sadegh*, K. Fatras, G. Huguet, J. Rector-Brooks, C.H. Liu, A.C. Nica, M. Korablyov, M. Bronstein, A. Tong
arxiv
On the Stability of Iterative Retraining of Generative Models on their own Data
ICLR 2024 (Spotlight)
Q. Bertrand, A. J. Bose, A. Duplessis, M. Jiralerspong, G. Gidel
arxiv
EDGI, Equivariant diffusion for planning with embodied agents
NeurIPS 2023
J. Bremer*, A. J. Bose*, P. de Haan, T. Cohen
arxiv
Generative Models
Equivariance
Feature Likelihood Score, Evaluating Generalization of Generative Models Using Samples
NeurIPS 2023
M. Jiralerspong, A. J. Bose, G. Gidel
arxiv
Generative Models
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
ICLR 2023
D. Ferbach*, C. Tsirigotis*, G. Gidel, A.J. Bose
arxiv
Strong Lottery Tickets
Equivariant Networks
Pruning
Riemannian Diffusion Models
NeurIPS 2022
C.W. Huang*, M. Aghajohari*, A.J. Bose, P. Panangaden, A. Courville
arxiv
Diffusion Models
Riemmanian Geometry
Generative Models
Controllable Generative Modeling via Causal Reasoning
TMLR 2022
A.J. Bose, R. Monti, A. Grover
arxiv
Causality
Generative Models
Equivariant Finite Normalizing Flows
Preprint 2022
A.J. Bose, I. Kobyzev, M. Brubaker
Equivariant Normalizing Flows
Generative Models
Matching Normalizing Flows and Probablity Paths on Manifolds
ICML 2022
H. Ben-Hamu*, S. Cohen*, A.J. Bose, B. Amos, M. Nickel, A. Grover, R. Chen, Y. Lipman
arxiv
Continuous Normalizing Flows
Generative Models
Online Adversarial Attacks
ICLR 2022
A. Mladenović*, A.J. Bose*, H. Berard*, W.L. Hamilton, S. Lacoste-Julien, P. Vincent, G.Gidel
arxiv
Adversarial Attacks
Online Algorithms
k-secretary
Neural Path Hunter, Reducing Hallucination in Dialogue Sytems via Path Grounding
EMNLP 2021
N. Dziri, A. Madotto, O. Zaiane, A.J. Bose
arxiv
Hallucination
Dialogue Systems
Knowledge Graphs
Adversarial Example Games
NeurIPS 2020
A.J. Bose*, G. Gidel*, H. Berard*, A. Cianflone, P. Vincent, S. Lacoste-Julien, W.L. Hamilton
arxiv
git
blog
Adversarial Attacks
Game Theory
Structure Aware Negative Sampling in Knowledge Graphs
EMNLP 2020
K. Ahrabian, A. Feizi, Y. Salehi, W. L. Hamilton, A. J. Bose
arxiv
git
Knowledge Graphs
Negative Sampling
Latent Variable Modeling with Hyperbolic Normalizing Flows
ICML 2020
A. J. Bose, A. Smofsky, R. Liao, P. Panangaden, W. L. Hamilton
arxiv
git
blog
Normalizing Flows
Hyperbolic Geometry
Meta-Graph Few Shot Link Prediction Via Meta-Learning
Preprint (Unpublished)
A. J. Bose, A. Jain, P. Molino, W. L. Hamilton
arxiv
git
Link Prediction
Graph Neural Networks
Meta-Learning
Compositional Fairness Constraints for Graph Embeddings
ICML 2019
A. J. Bose, W. L. Hamilton
arxiv
git
Graph Neural Networks
Fairness
Node Embeddings
Discrete off-policy policy gradient using continuous relaxations
RLDM 2019
A. Cianflone, Z. Ahmed, R. Islam, A. J. Bose, W. L. Hamilton
arxiv
Policy Gradient
off-policy actor-critic
continuous relaxation
A Cross-Domain Transferable Neural Coherence Model
ACL 2019
X. Peng, H. Saghir, J. Kang, T. Long, A. J. Bose, Y. Cao, J. Cheung
arxiv
Coherence Modelling
NLP
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization
IEEE MMSP (Best Paper Runner-up)
A. J. Bose, P. Aarabi
arxiv
Adversarial Attacks
Face Detection
Adversarial Contrastive Estimation
ACL 2018 (ORAL)
A. J. Bose*, Y. Cao*, H. Ling*
arxiv
Negative Sampling
Embeddings
Adversarial Sampling