Biswa Sengupta

Orcid: 0000-0002-1377-6583

According to our database1, Biswa Sengupta authored at least 41 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Learning to Communicate using Contrastive Learning.
CoRR, 2023

Learning to Infer Belief Embedded Communication.
CoRR, 2022

Switch Trajectory Transformer with Distributional Value Approximation for Multi-Task Reinforcement Learning.
CoRR, 2022

The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications.
CoRR, 2022

Reinforcement Learning for Location-Aware Scheduling.
CoRR, 2022

Learning to Ground Decentralized Multi-Agent Communication with Contrastive Learning.
CoRR, 2022

Hierarchically Structured Scheduling and Execution of Tasks in a Multi-agent Environment.
Proceedings of the Progress in Artificial Intelligence, 2022

Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing.
Entropy, 2021

Pillar Networks: Combining parametric with non-parametric methods for action recognition.
Robotics Auton. Syst., 2019

Generative Adversarial Networks: An Overview.
IEEE Signal Process. Mag., 2018

How Robust are Deep Neural Networks?
CoRR, 2018

GeoSeq2Seq: Information Geometric Sequence-to-Sequence Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Conditional Autoencoders with Adversarial Information Factorization.
CoRR, 2017

LatentPoison - Adversarial Attacks On The Latent Space.
CoRR, 2017

Sequence stacking using dual encoder Seq2Seq recurrent networks.
CoRR, 2017

Approximating meta-heuristics with homotopic recurrent neural networks.
CoRR, 2017

Pillar Networks++: Distributed non-parametric deep and wide networks.
CoRR, 2017

Large-scale image analysis using docker sandboxing.
CoRR, 2017

Deep Tensor Encoding.
CoRR, 2017

Pillar Networks for action recognition.
CoRR, 2017

Approximate Bayesian inference as a gauge theory.
CoRR, 2017

Deep Geometric Retrieval.
CoRR, 2017

Algorithmic clothing: hybrid recommendation, from street-style-to-shop.
CoRR, 2017

Bayesian Belief Updating of Spatiotemporal Seizure Dynamics.
CoRR, 2017

Differential Geometric Retrieval of Deep Features.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Annealed Importance Sampling for Neural Mass Models.
PLoS Comput. Biol., 2016

Gradient-based MCMC samplers for dynamic causal modelling.
NeuroImage, 2016

Dynamic causal modelling of electrographic seizure activity using Bayesian belief updating.
NeuroImage, 2016

Gradient-free MCMC methods for dynamic causal modelling.
NeuroImage, 2015

Characterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modelling.
NeuroImage, 2015

Consequences of Converting Graded to Action Potentials upon Neural Information Coding and Energy Efficiency.
PLoS Comput. Biol., 2014

Ten Simple Rules for Effective Computational Research.
PLoS Comput. Biol., 2014

Power Consumption During Neuronal Computation.
Proc. IEEE, 2014

Cognitive Dynamics: From Attractors to Active Inference.
Proc. IEEE, 2014

Efficient gradient computation for dynamical models.
NeuroImage, 2014

Information and Efficiency in the Nervous System - A Synthesis.
PLoS Comput. Biol., 2013

Balanced Excitatory and Inhibitory Synaptic Currents Promote Efficient Coding and Metabolic Efficiency.
PLoS Comput. Biol., 2013

Energetically Optimal Action Potentials.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Action Potential Energy Efficiency Varies Among Neuron Types in Vertebrates and Invertebrates.
PLoS Comput. Biol., 2010

Modeling of Dual-Route Fear Conditioning Paradigm in the Auditory Cortex.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Modeling of Short-Term Synaptic Plasticity Using Dynamic Synapses.
Proceedings of the Advances in Natural Computation, First International Conference, 2005