activity
20082015
most citedFixed Point Quantization of Deep Convolutional Networks

599 citations · 744 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2015★ 599 cited

Fixed Point Quantization of Deep Convolutional Networks

Darryl D. Lin, Sachin S. Talathi, V. Sreekanth Annapureddy

In recent years increasingly complex architectures for deep convolution networks (DCNs) have been proposed to boost the performance on image recognition tasks. However, the gains i…

cs.IT2012★ 5 cited

Interference Channels with Coordinated Multi-Point Transmission: Degrees of Freedom, Message Assignment, and Fractional Reuse

Aly El Gamal, V. Sreekanth Annapureddy, Venugopal V. Veeravalli

Coordinated Multi-Point (CoMP) transmission is an infrastructural enhancement under consideration for next generation wireless networks. In this work, the capacity gain achieved th…

cs.IT2012

On Optimal Message Assignments for Interference Channels with CoMP Transmission

Aly El Gamal, V. Sreekanth Annapureddy, Venugopal V. Veeravalli

The degrees of freedom (DoF) number of the fully connected K-user Gaussian interference channel is known to be K/2. In [1], the DoF for the same channel model was studied while all…

cs.IT2011★ 60 cited

Degrees of Freedom of Interference Channels with CoMP Transmission and Reception

V. Sreekanth Annapureddy, Aly El Gamal, Venugopal V. Veeravalli

We study the Degrees of Freedom (DoF) of the K-user interference channel with coordinated multi-point (CoMP) transmission and reception. Each message is jointly transmitted by M_t…

cs.IT2011★ 19 cited

Degrees of Freedom (DoF) of Locally Connected Interference Channels with Coordinated Multi-Point (CoMP) Transmission

Aly El Gamal, V. Sreekanth Annapureddy, Venugopal V. Veeravalli

The degrees of freedom (DoF) available for communication provides an analytically tractable way to characterize the information-theoretic capacity of interference channels. In this…

cs.IT2009★ 10 cited

Sum Capacity of MIMO Interference Channels in the Low Interference Regime

V. Sreekanth Annapureddy, Venugopal V. Veeravalli

Using Gaussian inputs and treating interference as noise at the receivers has recently been shown to be sum capacity achieving for the two-user single-input single-output (SISO) Ga…

cs.IT2008★ 40 cited

Gaussian Interference Networks: Sum Capacity in the Low Interference Regime and New Outer Bounds on the Capacity Region

V. Sreekanth Annapureddy, Venugopal V. Veeravalli

Establishing the capacity region of a Gaussian interference network is an open problem in information theory. Recent progress on this problem has led to the characterization of the…

cs.IT2008★ 11 cited

Sum Capacity of the Gaussian Interference Channel in the Low Interference Regime

V. Sreekanth Annapureddy, Venugopal V. Veeravalli

New upper bounds on the sum capacity of the two-user Gaussian interference channel are derived. Using these bounds, it is shown that treating interference as noise achieves the sum…