Modeling of Short-Term Synaptic Plasticity Using Dynamic Synapses. - Biswa Sengupta (ICNC (1), 2005)

Modeling of Dual-Route Fear Conditioning Paradigm in the Auditory Cortex. - Biswa Sengupta; Jim Austin; Gary Green (IICAI, 2005)

Action Potential Energy Efficiency Varies Among Neuron Types in Vertebrates and Invertebrates. - Biswa Sengupta; Martin Stemmler; Simon B. Laughlin; Jeremy E. Niven (PLoS Comput. Biol., 2010)

Energetically Optimal Action Potentials. - Martin B. Stemmler; Biswa Sengupta; Simon B. Laughlin; Jeremy E. Niven (NIPS, 2011)

Balanced Excitatory and Inhibitory Synaptic Currents Promote Efficient Coding and Metabolic Efficiency. - Biswa Sengupta; Simon B. Laughlin; Jeremy E. Niven (PLoS Comput. Biol., 2013)

Information and Efficiency in the Nervous System - A Synthesis. - Biswa Sengupta; Martin B. Stemmler; Karl J. Friston (PLoS Comput. Biol., 2013)

Efficient gradient computation for dynamical models. - Biswa Sengupta; Karl J. Friston; William D. Penny (NeuroImage, 2014)

Cognitive Dynamics: From Attractors to Active Inference. - Karl J. Friston; Biswa Sengupta; Gennaro Auletta (Proc. IEEE, 2014)

Power Consumption During Neuronal Computation. - Biswa Sengupta; Martin B. Stemmler (Proc. IEEE, 2014)

Ten Simple Rules for Effective Computational Research. - James M. Osborne; Miguel O. Bernabeu; Maria Bruna; Ben Calderhead; Jonathan Cooper; Neil Dalchau; Sara-Jane Dunn; Alexander G. Fletcher; Robin Freeman; Derek Groen; Bernhard Knapp; Greg J. McInerny; et al. (PLoS Comput. Biol., 2014)

Consequences of Converting Graded to Action Potentials upon Neural Information Coding and Energy Efficiency. - Biswa Sengupta; Simon Barry Laughlin; Jeremy Edward Niven (PLoS Comput. Biol., 2014)

Characterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modelling. - Gerald K. Cooray; Biswa Sengupta; Pamela K. Douglas; Marita Englund; Ronny Wickstrom; Karl J. Friston (NeuroImage, 2015)

Gradient-free MCMC methods for dynamic causal modelling. - Biswa Sengupta; Karl J. Friston; William D. Penny (NeuroImage, 2015)

Dynamic causal modelling of electrographic seizure activity using Bayesian belief updating. - Gerald K. Cooray; Biswa Sengupta; Pamela K. Douglas; Karl J. Friston (NeuroImage, 2016)

Gradient-based MCMC samplers for dynamic causal modelling. - Biswa Sengupta; Karl J. Friston; Will D. Penny (NeuroImage, 2016)

Annealed Importance Sampling for Neural Mass Models. - Will D. Penny; Biswa Sengupta (PLoS Comput. Biol., 2016)

Differential Geometric Retrieval of Deep Features. - Yu Qian; Eduard Vazquez; Biswa Sengupta (ICDM Workshops, 2017)

Bayesian Belief Updating of Spatiotemporal Seizure Dynamics. - Gerald K. Cooray; Richard Rosch; Torsten Baldeweg; Louis Lemieux; Karl J. Friston; Biswa Sengupta (CoRR, 2017)

Algorithmic clothing: hybrid recommendation, from street-style-to-shop. - Yu Qian; P. Giaccone; Michele Sasdelli; Eduard Vasquez; Biswa Sengupta (CoRR, 2017)

Deep Geometric Retrieval. - Yu Qian; Eduard Vazquez; Biswa Sengupta (CoRR, 2017)

Approximate Bayesian inference as a gauge theory. - Biswa Sengupta; Karl J. Friston (CoRR, 2017)

Pillar Networks for action recognition. - Biswa Sengupta; Yu Qian (CoRR, 2017)

Deep Tensor Encoding. - Biswa Sengupta; E. Vasquez; Yu Qian (CoRR, 2017)

Large-scale image analysis using docker sandboxing. - Biswa Sengupta; Eduard Vazquez; Michele Sasdelli; Yu Qian; Martin Peniak; L. Netherton; G. Delfino (CoRR, 2017)

Pillar Networks++: Distributed non-parametric deep and wide networks. - Biswa Sengupta; Yu Qian (CoRR, 2017)

Approximating meta-heuristics with homotopic recurrent neural networks. - Alessandro Bay; Biswa Sengupta (CoRR, 2017)

Sequence stacking using dual encoder Seq2Seq recurrent networks. - Alessandro Bay; Biswa Sengupta (CoRR, 2017)

LatentPoison - Adversarial Attacks On The Latent Space. - Antonia Creswell; Anil A. Bharath; Biswa Sengupta (CoRR, 2017)

Conditional Autoencoders with Adversarial Information Factorization. - Antonia Creswell; Anil A. Bharath; Biswa Sengupta (CoRR, 2017)

GeoSeq2Seq: Information Geometric Sequence-to-Sequence Networks. - Alessandro Bay; Biswa Sengupta (ICLR (Workshop), 2018)

How Robust are Deep Neural Networks? - Biswa Sengupta; Karl J. Friston (CoRR, 2018)

Generative Adversarial Networks: An Overview. - Antonia Creswell; Tom White; Vincent Dumoulin; Kai Arulkumaran; Biswa Sengupta; Anil A. Bharath (IEEE Signal Process. Mag., 2018)

Pillar Networks: Combining parametric with non-parametric methods for action recognition. - Yu Qian; Biswa Sengupta (Robotics Auton. Syst., 2019)

Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing. - Lancelot Da Costa; Thomas Parr; Biswa Sengupta; Karl J. Friston (Entropy, 2021)

Hierarchically Structured Scheduling and Execution of Tasks in a Multi-agent Environment. - Diogo S. Carvalho; Biswa Sengupta (EPIA, 2022)

Learning to Ground Decentralized Multi-Agent Communication with Contrastive Learning. - Yat Long Lo; Biswa Sengupta (CoRR, 2022)

Reinforcement Learning for Location-Aware Scheduling. - Stelios Stavroulakis; Biswa Sengupta (CoRR, 2022)

The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications. - Tim Tsz-Kit Lau; Biswa Sengupta (CoRR, 2022)

Switch Trajectory Transformer with Distributional Value Approximation for Multi-Task Reinforcement Learning. - Qinjie Lin; Han Liu 001; Biswa Sengupta (CoRR, 2022)

Learning to Infer Belief Embedded Communication. - Guo Ye; Han Liu 001; Biswa Sengupta (CoRR, 2022)

Learning to Communicate using Contrastive Learning. - Yat Long Lo; Biswa Sengupta; Jakob N. Foerster; Michael Noukhovitch (CoRR, 2023)

Learning Multi-Agent Communication with Contrastive Learning. - Yat Long Lo; Biswa Sengupta; Jakob Nicolaus Foerster; Michael Noukhovitch (ICLR, 2024)

The EU AI Act and the Wager on Trustworthy AI. - Alejandro Bellogín; Oliver Grau; Stefan Larsson; Gerhard Schimpf; Biswa Sengupta; Gürkan Solmaz (Commun. ACM, 2024)